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',mE='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',LB='0',xE='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',AA='0px',_B='1',eE='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',XC='1024px',UC='1px',ZD='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"/><\/div><\/div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;">\xA0<\/div><\/td><\/tr><\/table><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">After that the interface changes like this:<\/span><\/span><\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle3"><colgroup><col width="743"/><\/colgroup><tr><td style="text-align:left;width:17cm; " class="Tabelle3_A1"><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:13.169cm;width:16.84cm; float:left; padding:0; position:relative; left:0cm; " class="fr2" id="Grafik4"><img style="height:13.169cm;width:16.84cm;" alt="" 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6Wx2TUbjtvzeXkeDZHV35T/fM+e7f2Kt+8zAi7GTunTsPykmgPtBElqzwV7evLXl/crPnFZz3FmhS/v543vY2AizWsQCxrHU2C5GCxR0ZMJLO/XbxshjTzZ9SHBrE6URUjlMds/0uLz8nwdV5Y1kAzDC3v1nDDi7b5o4sJeNEF1zXrhR1B1nuIEVJpPo7aKuYz01Mmyx/4iiywsBqgUFfewmnXWVDrbty82G3V+dY9stTK5Xr0TEQ9n+W6bOnZ2jZtpkrqKWHzBIY1+/SPL9oyj0t8evQpJUFrmLRRFR7NLZEwZZ/WQZRM9CfYxs8sdIaaStWfPntxIKQdk+w5yUo5YLJaZmfndsgHtH0Ojq3Ovx69/xOPo13XrN1BELz5bRuywITPTmvqAaL+ieLXGNxbJzPy1RLVqJcRF/A/2erUBVoL0cucL7dNHroHXq5VYl1m9lEptpy++n4FfU+PVBnSGOMV4LqaXpsjlZdGgDsWP/t93I+oOGoT82SViVYXTtKrX64Amrd9cIvsaSIZhGl+VHRn1oKvOLk5gpXkazF9MM2ZAkWUWJgM7fayu+yPrrKsP+u67QQh9OKh48Q6oA8s8KK8Tq17avl+MvL74IJ7ggGVzOhTZ+YLm36jwIjc2rjZo3judU9+KS56hRTwJFmls1RX60Lpd98JoX4JWdeUGfffdd4HJlS9fPjCyur7ggmTOK2FExBEn2nlg+A5yjmkUByukj0xLGyAGBAIgjUjagKVzupYy43m40P+I70IjvYi544V2jRc1X7rlVZrizlkUfazxZ0fGGlI2GwZ2zproSdNiqc7wLVuG0w5bvnw31H7m0rKTvNklwSq/TKoGkmHYzMvkOWEV+dP0t6ddzC0j6qqYtJiJimw1Gcl53ZqZpw+qsGRlt4zcr17KgxmSqPbgGpGA0nnrH9Wx68rTQ7JJMDeoQoUKW7Zs8YfTQPrIE3IiOVPGsXeD83Fhgeu6mzfPGFxx8ortnbuUQjtXLFqLmrkpqeXX9pixsvNwc9H0zhc7Ns3ovZmHCYcQQuAWUv4huGCv2wnSmGnN6qUwD5IMcV2VYO30dt1FfKRTsBkIdMupFHa+OPiD+sO71B62eXFqx8czfkz1ZZeAVRVO/6xaMiet2eLLyKJABswaSIZh4HNtxg7XTTGv/flCiD9Nv7/NU8ztbm1kJJuoyB5mUsp4WWUhnvay6rbj/6W+ArF3ZmxJS70ni7yOu3r9RTZDDJ5Zju16104pmYGa6hT8hfLU1ccvLNli3Lrp3gTdbZNy2+e9efPmROnRRxUrVkwULXlogIgY62kE7yLlJLcwAVE+KlXqsWlau0pNK45CqGq7dlUZRtQauujxO5pLfqs+vug/nUu5LFXVgwk7fwlOYWJtb1/UGjptqZVgSude5SFAZcEjiwR1fMgugIFRMi+du5FCSmk0SrzPmL2+VGlvdolYRWTtUzLndtM2dUrZOVsUIasaSIJhGj+lU692lXpUfI3fyeue9yJSRPOji+NP09eVPMWkAol0FveVbx5cZPGuwYyPVW97WXVbt+kWK3ZKCvK15glX7yibW7OV2Y0Zn6ZTi5V8pE6BBvnqv4zdJb4ferdZdaWQJ8GdGV4GTpgqVaq0adOmRE/pI4hw4nmShIuUc6IjgHawYcMGys6GDYP1A9YJ7nppw12+EDlDtjPjK5RKUjq99JJ85LmoNdiTYIod4E1Qxf9oWOXlpVP8DCAkUqZXZnYiBSs/f/76dQ+r3/8bVf37wpc6lTS5eimJGsiWYR5NxbJYuj9BcfxpelvMW0w7KEGRfS+7yMeqr72MwgYULPer18etrhZ1q+KretMpuL5CIbuuUrxV50nQk11uEJOsLNNLFOE4DAf1RtQThpNfpcyLX6VKlfXr1yef8fAqVeaiqv3fHVQi9+ruo+FVes+FyzaT19+Uq42SJcHwnPP88oJhX5of6gBBtNpnS9k6E+h4qzd/UE4lK1dILVLWiJIkthA5o0R/r7322nXr1iXzSzvounUvXnttlbuSi5/ML+318nrQtVWq5EqaSf22HMN+jytHNFdc1yKDquQSP3aavVlt23HuSiFVqpyUmsml36++ujaF3JVb9XNm/aLjnbJM8q3AWN51B8nnf+DAgSuuuGLt2rUUvsPf8Df8zYvfpMVRUEpKChXMJCOT7I4/yQG98cYbbdu2LVeuXE5eCimkkPKQDh48SAWzRMlkpZIkOP5ErFBOXj2hWX76+dpkY4cUUkgnhZLGAkLEgYg6yDorMXlbJZmT2EIKKaTTmqjAc91AnYkYcBrSGbObOKSQQjpekmsLmLWgRN5cpCwCk59oDCmkkM5cEjubDf+BhAPMNziLVdghhRTSWUEaEThZexZycwdGSCGFdHqTkHdxfCr7iaLQcRBSSGcxBexZEIT5VrAQEkIKKb8T7MjG2LQV/MuQHByiQUghnSWkEAHIdzhaCAYhhXR2EPFNI2o4YAdGyNOSQgoppPxP/CAkqiA4nolG9bFWbkmcKu5OI+o/++OtB91jsXy4ubZA1ClXyBnTuVYWcWbNmvXLL7/8+eefJ42rk0bnnHPOZZdd1rVr11PNyOlBXENwPRONnHJ8sHp+pZ5TV/y1eLGZHdNKFEn2FMoziH7c//uYd9bSMk7r1TAwwpSpU88/77yHH344X36eG75xTMt4X69ep5qXU0nqZEfMEcFYpKwPRAsRgdEvR6JPta52yUXnH/wzH9bGZYUv+Hvral0mrEgUYf++fd3698+vn+eGbxyPGTPmVDNy6gn8iAQQgZNvkXI+7P85Jqo7XVb4/Mz8iAWUDh1jpXMTrzk7duwYfJ77ZHJ10gi+cUzLeKoZOfWktzB7fQdqeTIOJxo5ETiMN59SdkVTR13lS8rHRUueiPzFRoV4dzSGFQVEEMpi/DzTiSQxexTKTL4nWI8om5n9tRYphx1AkYtQPP/WRjLzJSEc5HOS25QCT0NSu5jCTiAoD+Fg6X2pt8+Ay2qjNs/tA8fXLH7ioifLrl11T1l6vfX5xhWfrLRg27NN84yJrAhOzc8iwvJHirZDr+3TXyelAWMreD+cHBiYU8qVRCwKOzmQ0A4C9iwQXUdhXeUtMSzYMHBtTIl9G6QQQdDKBysubL15W5/T9RzKbVPHftOlCxo7dVujM/7D6WcrydFfnIYEJOBA2cn52X+WEyJ55Urc+sLoGR3eiHVNhfTLdZ06bmHauA96T6nLW4j+2z6pzt1kwdbe5fKuLZJB/CyG0G2L30Y3T+yD+vZdnNFT4AGL7fM/BgYeD7P52rN5yoh2ML5FCcOKZHQiX3DO30TyyFjYtmDh5z36NDISL/O3pjXnfpeBaqVy/+Wi+xrNa7NkSdM89Vwkk3Zi+aNoQFpNLFMGtSIaD7jMbpvSvOagLxCqMeJz/pn4wMDl/YqPQ53R7NlXsW+8sy+is6dIf/LdExSYiC8WT7b8iKsGDWIfYtbRQsqS5Nlo2DorEYlP5IZmlaCjLvr5cB5s3vgDH73uqnMP4591ED7kfrrzG/zzpeh39OmoAZ+2fDle4DD6OXEaJ07FzssmQiwWO3ToUPCzHfPfijcdU4w+vqlpvP/89XfcXZqGHj6Kvhg0uunyjIzSO15o2+i+Z296/e7SCQO3lGRh6ND8+69/iz5+laaw8om2z66vcTei8Ra2gCBKlAsjkZVPlL3nmfl3/LMeje19kUfbeF9GxhCkowVT8p88z8ckhJ1PLajVBfo0JIUFISAgYSzkQUXQNL/c/AMhl1lBN5YsRbhpcGPvl9qsvLP26x+tur1M7mduZJk90iVyJe5cvhA1G12SPS5ZvxlKn/FBlxFg6FQbMLoLCy/ZpU+HJ5fuoBcJA5vV5wns3LoFrXm1UdknIekOjd3tGQvXdOgzp6SRu5FIncYd0KSt2906yPcii15tQPc67EUVrdQJ11Q+JjV1YEw2qrMScS5/nv4MJ2Ys5IXtXqpFner9Vq2YXL2+DNnx7gdfXn1nKUKzo13aLfXAM//+pkntXlf8MKVG7mcv6ASMhQ9njFyzBqWXH6lClqwcXqcuDCiiC+3M+BaRdLD3swxkV+1nbmFwIjLdmUG8jgIzEXmNfC+SDwOihf05S1KTB76jU2XdkXDTAidaCbE86U1lb36we4tO993w/eTr2O3iCXUeJYM3pRES461DVZJYvckzB9fr3vrZmW89cHkecICSgIOEE42rlsxJ+8fiV7rIcXfnix2bLlk5rHYdyvzaRSu2d6ZPdq5YtLZd79ou/6x7YCDiX31HKKVMeTRy0gv31FbppdRrlmaHICO+ui7lezEwWoKp0hAnkJxLFBONMlDNLOjfcN9C3lL9yQtn925RsiDcNZ99dFx9b5TLu68cvrVg91tR3iHC8dGqpa+lNVts6OCl6jdLG7V01XD2FZ608hmPV6zIPszVbsZm+VmewEBFdYYv/kfHpk0rjuJ3NMbwOl1emZFRUYTwgEBG/C/mWhnPFpKKloOxtcGZCCyQ6kFIiNVDnhgLQHUnzd8xSeUUF4NYk947mqjbtJF/zkesVeJ5wUASrRw4ttYauqmW/Sil08ub+LfX+RM0dKj5dq3EgTIN9n4nO1MaYdNQHWDGN669L6LgaCElILFJiR924Dv+xDAjTglzpxvlke+gdeq5iR7N23Yk17NLRMdtLFSuXDkw/oYNG06YqZNHobEA5HJpB3sByNjCJE49COuKEa2EvICDN7b+kehRHiojPkqmiQPhYP369clHDul0JinsTDEg8vOsepEy740kXJUIxJch5du6SEY7yMfDQj4uWo4IViW6BDsyxHIlirmfs76uHAfvPvB7WvHz/rvr6KnmJfep+iUFaeloGRNFKFCgwIEDB6644ooffvjhZDJ2ciglJYWWjpbxVDNyyonAUckY6/X41mlI4SwjUIlz488t/OrBv6XVLZHd8r0zkPYe/IOWjpYxUYSiRYu+8cYbbdu2LVfudN1DdQJ08OBBWjpaxlPNyKknIv/HtiuRyFUhoR7FaHLPBj2nreg7/f18eQKKg/Fl58Wm9Qw+N5VSr169Jk2a9Oyzz+bLE8SoXlC4cOE+ffqcakZOMRG18ABpZ5I4/oTIx6GCAJSFtJwNFErL2UDyRESMPOcdEHnegfw/pJBCys9EkHlQormj0dALQmMhpJDOCuJS70prAcKsHY1IYkZIIYWUv0m4DhBfeUCE5WCdpOwSbTGEFFJI+ZtAO3AAETjpk5QBC/L18pOQQgpJEhGfXQFEgDB9VqLyJoYUUkj5noR9gAUi2Iejmd7EU8diSCGFdNJIfrNVh4iZBXEoBcwshHgQUkj5neQ0IpZ3jKLGM34RYkFIIZ0NJMZ9+kerB3JVIhHny6HQWAgppLOAiDYWOCKYG5yJPswy1BBCCuksIGIYC5hYrkQivnUTHj8bUkhnCanPKGDv0amAB4AFv/0Rr1/3pobt+uVChup/4z8FN9iKpl0XXjwiyHNiG9b8w6X1a+zIOBvJOP5WnjKeaG2ZaAo20cQ/KyF0R0ZQmViQUeW6cs/mSj7TqV7tG379I66OUraWIR2Lua4yFgjK+OW3ug2bt2jRkmhvg3I8aHKNOQjrkRBuKeP6Wy7qhH1kiLhKxLeFyqumYPtH33j/U3BnJJCcynOcipGHH3EjBElhlb5Ut8eXXXKksACZdevxJCN58BEsO1GMQ00KWDBYRxYWHydPfv6QB76Q1frJ6KtZ8ZSb1ZxLaWVZh0nlEdSBPKli3S+NMZJf0CF/60+/iV6BMZX/GP8KYDT1sgveemPOFUVr/bCXHeNH22LzD7998/1vas5RWxD2l5q838HgpC7gBGA3Ltc3AeC4/PB7AQ1y74RUGgh/jnwdRW7BxLoWJA6Ijosd7COLmwA0S0DBXS/7d2mOHGqF5PjJcRwpXJrDXJGxoBIQm2i9KvA24EAMAK4bZ//DeYeSVfZD/0c4wm9tjBA855QrlaeBQXLGK5CQvzMkoKw0wtyr25w30/FwhZPIx9DW5DtWd5IyYmjM7PgrGQ2D1AAXBF1R/DwKAhQKolWrVh3/zL9eeqvVnJU/uYb8Q7rmkG1hgWQrcCmjoVQEFeNUeCcw95/mXfoc3jBAV2DflW4b/YgjiDiIRl2cPaQKnihE1Y/6zSI1aNxgUIAXT031+gxd/YScCEveDgPThao7IRj1xbpDPnUA+5WEccC5YquTYXNzncrFO93+ryoVS0ULFy78+5/xNaveveGqRp9s3KdMeHWCmpxvsLFA47pVQKSxgB/QavR1W1GUVzY6WELrU/gN0nKldYGAWJaOkNeI4CFP9w3s9ycNAoT7+DSYRPYIOQuS4gpVpOokGRQ4yZTLTZYAEdTXUJJhRuONiQjiGulqlsciGu4CzE9KdmpXLrb24wUUBC666KLo5Zdf3vGWhkMGPzFsOOpQv+VHG/fv2PU7Yud8iwaC5nATYIHq2TYWCE8U4SaDgCeMjbcNygIRsqK8ESSflWHklVS/9PZ1b4geAM8IvSAvWAtABIM82oEnfu5zk0M6OYiAkPU1lKyZyRYR2FnJSinAWnEoecn5datcvO7jhVT80+vdcMUVV0QpJKSkpHTqcOuIUaMvOGfcAw89POiOjihB30/kopbMmH/sMGVzBEVScXM6fPlmEfJUspLkzcuB4du0ruVt8FsnTGZtJqxXYsXUapT8g00WkY//E2MwoDNloVKd4XSclXbilY19HUxdvf76q11uf4bqBRQLSpUqdcEFF0T/8pe/xGIx+qx9q/oHDx4c9dRY+u9EWTDIVBpkSDAWeG4CB+iAajUhITd765lNnmrPus5961ENV7TPZxVWb36i66uUpgpBiRIlLuT0/8TcE/upG7KjAAAAAElFTkSuQmCC"/><\/div><\/div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;">\xA0<\/div><\/td><\/tr><\/table><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">Note that the combo box contains the names of all annotation processor classes that are available in the current classpath. If SampleProcessor is selected and you finish the dialogue by clicking \u201Cok\u201D the annotation processor is inserted into the annotation processor list of the main window:<\/span><\/span><\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle12"><colgroup><col width="743"/><\/colgroup><tr><td style="text-align:left;width:17cm; " class="Tabelle12_A1"><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:13.169cm;width:16.84cm; float:left; padding:0; position:relative; left:0cm; " class="fr4" id="Grafik13"><img style="height:13.169cm;width:16.84cm;" alt="" 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',LC='3px',aE='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"/><\/div><\/div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;">\xA0<\/div><\/td><\/tr><\/table><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">The new launch configuration is listed and selected on the left and the right shows the details of the active configuration. The maybe most important part is the \u201Cjava source file set\u201D which defines the members of a jMDA model. You need not explicitly add each single .java file of your model to the \u201Cjava source file set\u201D but rather include and exclude groups of .java files. The definition of the members of a jMDA model is intended to be similar (but not equal) to the definition of apache ant filesets. The following example will explain the general idea. Please activate the \u201Cdirectories include\u201D area by clicking into it. The activated area gets highlighted and the \u201Cadd\u201D button gets enabled:<\/span><\/span><\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle4"><colgroup><col width="743"/><\/colgroup><tr><td style="text-align:left;width:17cm; " class="Tabelle4_A1"><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:13.169cm;width:16.84cm; float:left; padding:0; position:relative; left:0cm; " class="fr3" id="Grafik5"><img style="height:13.169cm;width:16.84cm;" alt="" src="',hE='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"/><\/div><\/div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;">\xA0<\/div><\/td><\/tr><\/table><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">Because this dialogue was started from with the \u201C<\/span><\/span><span class="Strong_20_Emphasis"><span class="T2">directories<\/span><\/span><span class="Strong_20_Emphasis"><span class="T1"> include\u201D area being selected only directories are displayed. The domain model files reside in the \u201Csrc/main/java\u201D subdirectory tree so this is a good location to navigate to. After that the file chooser dialogue will look like this:<\/span><\/span><\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle6"><colgroup><col width="743"/><\/colgroup><tr><td style="text-align:left;width:17cm; " class="Tabelle6_A1"><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:8.671cm;width:16.806cm; float:left; padding:0; position:relative; left:0cm; " class="fr5" id="Grafik2"><img style="height:8.671cm;width:16.806cm;" alt="" 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hLKSV90pECmyUAAAAAAAB1cOKSfkJZAgAAAACAAaPFJZQlAAAAAADoDlCWAAAAAACgEzJd4cwoS0zaAQAAAAAAA8baLBOxiZUsAQAAAADAAAh6wyEuAQAAAABAO1BXeMmqQxCXAAAAAACgBjVXSgcAAAAAAKA14RrpRE5ZFslPAAAAAAAAysBK6QAAAAAAoGuQtISyBAAAAAAAHZLpEIeyBAAAAAAAneBWSi+ZGw4AAAAAAECbYJwlAAAAAADoMlCWAAAAAACgQypXSgcAAAAAAKAOvM56lgAAAAAAAHQElCUAAAAAABgQ2Rk8eWMmAAAAAAAA1WCcJQAAAAAA2C1AWQIAAAAAgLbhZkPHFF5ZZoyZAAAAAAAAtAVslgAAAAAAYEAoA6W2UUJZAgAAAACA7pBVlm7SOAAAAAAAABXkx1IW2CwhLgEAAAAAQE3CxSvRGw4AAAAAALoDlCUAAAAAABgQ2T14AAAAAAAAGCBQlgAAAAAAoBNqzeABAAAAAACgA6AsAQAAAABAd4CyBAAAAAAAnVO06lDyG8tYAgAAAACAeoQroGNuOAAAAAAA6DJQlgAAAAAAoDsEyhId4gAAAAAAoDbhCEsSkT2pExCXAAAAAACgNqG4ZOgNBwAAAAAAAyGcygNlCQAAAAAAuoNXlr5DPDBpAgAAAAAAUJOUzTLTUw4AAAAAAEB90BsOAAAAAAC6A5QlAAAAAADoDlllqWb3YOEhAAAAAADQPrBZAgAAAACA7gBlCQAAAAAAugOUJQAAAAAA6A5QlgAAAAAAoDs4ZSntTuIAAAAAAAB0AmyWAAAAAACgO0BZAgAAAACA7mCUpd3XER3iAAAAAACgNVLD0+uge5slxCUAAAAAABgI6A0HAAAAAADdIaUstdlyb8UEAAAAAAAMMjId4vl9w5legQgAAAAAAIBSJDPjLENxWdAbzjHUEgAAAAAA1MCJS/qJcZYAAAAAAKB9ZLYrnEFZAgAAAACAznCmyqrecAAAAAAAAKqh9SyZX7lSAWUJAAAAAAA6JzuDB1N2AAAAAABAu8hguUr6BpslAAAAAABoG9cbzjDOEgAAAAAADBCnLLPjLElpSuzAAwAAAAAAakArpZvvUv1isFkCAAAAAIBOCNazxNxwAAAAAAAwUDI93illGS5HBAAAAAAAQAV53Zi1WWa26AEAAAAAACBPZm44Vh0CAAAAAACdUzo3HAAAAAAAgLZI7e5YOjcc/eEAAAAAAKCSvMGSwWYJAAAAAAA6o/UMHgAAAAAAAGpSteoQAAAAAAAAHZCaG47dHQEAAAAAQFvQHjwYZwkAAAAAAAaE1GZKLy6xbzgAAAAAAOgi2N0RAAAAAAB0B6Ms/1979x4rz1XQAXxmf9f0SUt/tsFgoa20EImNYEl5lZYCoYIPQIgxTYilaEJNeamJBkIAGxTRUjAIGklTYuAfFCupsSK2gJgQFRJsIgFbIMV/BEOxLX3eu8fdee3M7Ozendlzf/vb28+nv957d3Z2Hrvz+O45c87kJZmJuzsCALCaZddZVr2ob2C5AADYQlXpZM51lgAAxDHrdahWkqnYEgCAldSLLWdllnm4zPKlRjwAAKyqKqBUGw4AQBySJQAAcbT7s9zUcgAAsEXSaXKcNdRp3DccAADWJFkCABBHlixTvQ4BANDbwnvwuGk4AAB9uQcPAADxSZYAAMTR7nVIhTgAAH3lNeLtMktdWgIAMIzacAAA4uhIlgotAQAYoEiWrrAEAKCX+QCpNhwAgIH0lA4AQDT1DKnXIQAA4iiTZR4o01SvQwAA9FIFyK4WPMIlAAD9Na+z3OCCAACw5ZrXWU5rxcVLAAD2kV1EqdchAAAOhmQJAEAc02RZb7CjcTgAACvq7ildT5YAAAzQ3VN6XlgpXwIA0Eu7P0sAAOhF23AAAA5KnixnjXY04AEAYBgteAAAGKjVUKd5d0fhEgCAoZp3dxQuAQAYKk+W0iQAAAPpdQgAgOHazb6zhx1tw7UOBwBgX0v6s8yHCpUAAAyk1yEAAAZqZchWr0ObWCIAALZWPVxmyTKtnkiUXAIAMIy24QAAxNFOllqGAwCwiqoevN2fZeuejwAAsK/uFjxBh0MAAKyuKzvOasMVVwIA0Ndc2/CuJwAAYBXd9w0P+RMa8QAAsJ96oWQeH9ttw5VYAgCwou4WPNqGAwCwJj2lAwDQW9rVOFyyBABguPp9dtptw4/5wgAAcEgoswQAYIj5hjpa8AAAEIcySwAA4pAsAQAYbuHdHQEAoK/uuzsCAMBg7V6HNOIBAGCYMllOAmVWjKlLSwAAVtHd65AsCQDA+lxnCQBAHJIlAABxSJYAAPTW2ThndnfH4urL6VguvAQAYB95gOzuKV2XQwAA9FKFy/xhuz/LRK9DAAD0lWXIuessFVsCADBIZwse4RIAgJXUm/LMteDJHh3zRQIAYOtVZZbKKQEA6GG+/bf+LAEAiEOvQwAADNQKkPUyy5CmmoYDANBDd0/pAACwDskSAIDe0sw+LXjchQcAgF7ad3fUfAcAgMHyaNloG55Mb+4oXwIAsJIlbcMBAKAfbcMBAIimfZ3l/BMAALCEuzsCABBNq6GOZAkAQBySJQAA/aVqwwEAiG1hCx4AABhGsgQAIA7JEgCAgTrbhk+GpSFxX0cAAIZTZgkAQBySJQAAa5nWiWfV4rNkqUIcAIAVTaLj/MCd1hjCJQAAw6gNBwAgjnay7CzYBACAllaXQ0lnmaVwCQDAiup3D1cbDgDAWtw3HACAyCRLAADikCwBABiifoVlTrIEAGCgVriULAEAiEOyBAAgjixZ6r8SAIBBqi6HkqrMcjIkuGE4AACrqQfKitpwAADikCwBAFhXXoA5S5Z5iaY6cQAAVpFXiOt1CACAOOpdWraT5TR6aioOAMDKqtY8yiwBAIhDsgQAIA7JEgCAOCRLAADikCwBABhCr0MAABwUyRIAgDgkSwAABgnTftCX9ZQOAAD7SvOb65ThMh8oWQIAMERRWhlmd3CULAEAGGgWLjOSJQAAcUiWAADEIVkCADBc1XwnkSwBAIhFsgQAIA7JEgCA9U3rxCVLAADikCwBAIhDsgQAIA7JEgCAOCRLAADikCwBAIhDsgQAoL80SdMkhMYwyRIAgDgkSwAA4pAsAQAYqFUhLlkCADBcPVxKlgAAxCFZAgCwljQt/pAsAQBYWxYuJUsAAOKQLAEAiEOyBAAgDskSAIA4JEsAAOKQLAEAiEOyBAAgDskSAIA4JEsAAOKQLAEAiEOyBAAgDskSAIA4JEsAAOKQLAEAiEOyBAAgDskSAIA4JEsAAOKQLAEAiEOyBAAgDskSAIA4JEsAAOLIkmXY9FIAALD9ijLLEJI03eySAACw3dSGAwAQxyxZKrYEAGAdjTJL4RIAgMHateFBax4AAAbpus5SuAQAoD8teAAAiEOyBAAgDskSAIA4JEsAAOKQLAEAiEOyBAAgDskSAIA4JEsAAOKQLAEAiEOyBAAgDskSAIA4JEsAAOKQLAEAiEOyBAAgjjxZhg0vBQAA268oswxJSJN0s4sCAMBWm9WGh6zkUr4EAGAY11kCABCHZAkAQBztZBm05gEAYJCOMkvhEgCAAdSGAwAQh2QJAEAckiUAAHFIlgAAxCFZAgAQh2QJAEAckiUAAHFIlgAAxCFZAgAQh2QJAEAckiUAAHFIlgAAxCFZAgAQh2QJAEAckiUAAHFIlgAAxCFZAgAQh2QJAEAckiUAAHFIlgAAxCFZAgDQX+gYJlkCABCHZAkAQBySJQAAQ4SsQjxNZ0N2qifqQwEAoC9llgAAxDFLlootAQDoq54hdxY9AQAAqwhlD0Tt2vDQ1TURAAAsk2VI11kCABCHZAkAQBySJQAAcUiWAADEIVkCABCHZAkAQBySJQAAcZT3DU8SXaQDALCikHT0gq7MEgCAOCRLAADimCXLvEBTnTgAAKvIK8TTWn5UZgkAwHCTfFmFy3ayDEnX1ZgAALBA1ZpHmSUAAHFIlgAAxCFZAgCwvmmFuGQJAEAckiUAAHFIlgAAxCFZAgAQh2QJAEAckiUAAHFIlgAAxCFZAgAQh2QJAEAckiUAAHFIlgAAxCFZAgAQh2QJAEAckiUAAHFIlgAAxCFZAgAQR5ksQ0jSdKNLAgDAdquVWQqXAACsbBIeJ+r5UW04AABxNJOlYksAAIaaK7PMizUBAGAF9ZLJrtpw2RIAgJVVJZOuswQAIA7JEgCAOKbJUu03AADrU2YJAEAckiUAAHEUyVJHlgAArC5k/1r5cVZmKVwCALAOteEAAMQhWQIAMFCrQryRLN3ZEQCAXur5UZklAABxSJYAAMQhWQIAEIdkCQBAHJIlAABxSJYAAMQhWQIAEIdkCQBAHEWyDFkn6akbhwMAMJQySwAA4siSpZs6AgCwNmWWAADEMbvOMk3T/GpLAAAYYFZmmYfLDS4KAABbI0zjY9JMj+0yS+ESAIBh8mQ5rQSvYmXQogcAgP7aLXhcagkAwKqaFeLTZBlaF1nKlgAArKgWLhsteDa0OAAAHAaNFjybXRQAALZSWUBZ3IOnKrCULwEAGKbzHjyqxQEA6G1WG77Z5QAAYLvMdZTedZ2lkAkAwADahgMAEEfen2UQKwEA6CuPkFWdeFkbXntSygQAYIBm2/BJ4NTrEAAAg2gbDgBAHB39WQb9WQIAsLJQxkdllgAAxNEusxQxAQAYpt2fpfuGAwAwTJYsa8WUIbjMEgCAIRp3d6zf4xEAAHrRNhwAgDga11nmxZYbXBoAALZXV224bAkAQH96HQIAII7O6ywBAKA3/VkCABCH2nAAAHrrjIwdteGJcAkAwH4mkbFV2d2VLAEAoD/JEgCAOCRLAAAGyq+hrOrEJUsAAOKQLAEAiEOyBABgLVW/QpIlAABxSJYAAAzQ0QO6ZAkAQBySJQAAcUiWAADEIVkCADBECNNLLdN0dvNwyRIAgDgkSwAA4pAsAQAYLq8TzxXJMk3T+lAAAOhLmSUAAHFIlgAAxDFLlirEAQBYR6PMUrgEAGCwdm14va9LAABYXdd1lsIlAAD9acEDAEAckiUAAHFIlgAAxCFZAgAQh2QJAEAckiUAAHFIlgAAxCFZAgAQh2QJAEAckiUAAHFIlgAAxCFZAgDQX+gYJlkCABCHZAkAwBAhhDRN60OyZJl2jw0AAEu0wmVRZjkZNHliQ4sEAMBhMKsNz/OmfAkAwDCuswQAYLh6uaRkCQBAHO1k2WrgAwAAK+oosxQtAQDoJ6sSVxsOAEBvoesmPJIlAABxHJJked17P7jpRQAAeKw7DMnyTddctelFAAB4zFlwd0cAAOglu8yy++6OAAAwgJ7SAQCIT7IEAGCIvLRSbTgAAGupqsDrl1pKlgAArKW61LJIlqPRaDweb255AADYMpM82ex0qFZmKVwCALCqotehRrhUGw4AwBD5FZbFzyxpNpKlYktgu7zppi/e/X/j3cNy4NoZjZ58+uhPrrpk0wsCsL88Su7TU/okXB7ThQIY6uqP3H7ij575hlf89BlnnLLpZYnjnnt++Ol//OpkvW685vJNLwvA/mqxcknb8LRjGMDx5nsPja694hk/fvpJP7mzu+llieNrZ5z8iiue8aEbb9v0ggD0024bDrB1QhJOP+3kp+3sHpK68CR52s7e/aedHGadxAFsgX36s0wVWgLb4vClsMO2PsAhVzXiyR8qswS2m3aHAJtSbxueD5EsgS0WkjA+XIV8h68QFjjMqi6HlFkCh8NeOIAo9tlrn/SaG/M/L/r9O27+jadkf37mdx//3vO/ctuv/cTk77s++tIL3/30m7/zgZfGnzvAllBmCbCfaaz8z3d+5YEqQb4yqcJl4XNvufCWV97xneZAgMe07Gu+ZAlssRCS2EWWd330fTde+ckHXn9ePuWnvP4j77vlohtuv+ZDL8wOm5OB3/rwi16b3Hz3NU85iNLSg5gmwEHIa8DVhgOHSuTrLL/593/3r1e/8cW1yZ73spdf/Kn/uiu5dFqEmYRbr730b3/pc7e+9JBd3wkwgNpw4FB5ZG/83YejdpP+4N6jF13wuB/ufnc2aPf+vS99+2u7333C3oPJl657+5de9Zf3ntwYIaZHTnBYBrZJR5mlDiyBLTU5ku3F7XVoHMKXv3H3ePzE2kzGycVPfvJ4b/JUcvGbP/bK2177ko9//jO/cm7M2c5mdiBTBThGfDkGtluIe2XiOVe86KK3fe72G579wnLIt2+97ctPf905IeRzOueaP7/pG8+77C3nfPuG58ScMcBhIFkCW2ycJLuR27yc9+o3/uqlV73lkm/d8Ozpw3/64xe+Lbzj358Vwm5WoDie/HHZ+z/xjp+98tUf/sRfXXN21Hkn2RoBbIv6dZb5sbhIlvl1l5G/+gNso8tu+MJNb730vKP5o1+86fsfvqw9ytlX3/pHdx698jXJQYRLgK2',JD='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',OE=':',_C='<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">\r\n<HTML>\r\n<HEAD>\r\n\t<META HTTP-EQUIV="CONTENT-TYPE" CONTENT="text/html; charset=windows-1252">\r\n\t<TITLE><\/TITLE>\r\n\t<META NAME="GENERATOR" CONTENT="OpenOffice.org 3.2  (Win32)">\r\n\t<META NAME="AUTHOR" CONTENT="Roger Wegner">\r\n\t<META NAME="CREATED" CONTENT="20101118;20404000">\r\n\t<META NAME="CHANGEDBY" CONTENT="Roger Wegner">\r\n\t<META NAME="CHANGED" CONTENT="20101204;15470100">\r\n\t<STYLE TYPE="text/css">\r\n\t<!--\r\n\t\t@page { margin: 2cm }\r\n\t\tP { margin-bottom: 0.21cm }\r\n\t\tP.western { font-family: "Verdana", sans-serif; font-size: 10pt }\r\n\t\tH1 { margin-left: 0.75cm; text-indent: -0.75cm; margin-top: 0cm; margin-bottom: 0.2cm; page-break-before: auto; page-break-after: auto }\r\n\t\tH1.western { font-family: "Arial", sans-serif; font-size: 10pt }\r\n\t\tH1.cjk { font-family: "SimSun"; font-size: 16pt }\r\n\t\tH1.ctl { font-family: "Mangal"; font-size: 16pt }\r\n\t\tH2 { margin-left: 0.75cm; text-indent: -0.75cm; margin-top: 0cm; margin-bottom: 0.2cm; page-break-before: auto; page-break-after: auto }\r\n\t\tH2.western { font-family: "Arial", sans-serif; font-size: 10pt; font-style: normal }\r\n\t\tH2.cjk { font-family: "SimSun"; font-size: 14pt; font-style: italic }\r\n\t\tH2.ctl { font-family: "Mangal"; font-size: 14pt; font-style: italic }\r\n\t\tA:link { so-language: zxx }\r\n\t-->\r\n\t<\/STYLE>\r\n<\/HEAD>\r\n<BODY LANG="de-DE" DIR="LTR">\r\n<H1 CLASS="western"><STRONG><SPAN LANG="en-GB"><B><SPAN STYLE="background: transparent">Welcome\r\nto jMDA.<\/SPAN><\/B><\/SPAN><\/STRONG><\/H1>\r\n<P CLASS="western"><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal"><SPAN STYLE="background: transparent">jMDA\r\nis about modelling and generator technologies that are easy to\r\nunderstand, convenient to use and widely applicable.<\/SPAN><\/SPAN><\/SPAN><\/STRONG><\/P>\r\n<P CLASS="western"><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal"><SPAN STYLE="background: transparent">You\r\ncan browse the online documentation with the navigation tree on the\r\nleft. The most up to date software releases including the offline\r\ndocumentation are available via the external links on the right.<\/SPAN><\/SPAN><\/SPAN><\/STRONG><\/P>\r\n<DIV ID="mission.statement_why.jmda.odt" DIR="LTR" HREF="mission.statement_why.jmda.odt&#255;writer8">\r\n\t<H1 CLASS="western" STYLE="page-break-before: auto; page-break-after: auto">\r\n\t<STRONG><SPAN LANG="en-GB"><SPAN STYLE="background: transparent">Mission\r\n\tStatement<\/SPAN><\/SPAN><\/STRONG><\/H1>\r\n\t<P LANG="en-GB" CLASS="western"><SPAN STYLE="background: transparent">jMDA\'s\r\n\tmain goal is to provide modelling and generator technology that is\r\n\tmost comprehensible and most easy to use while being as powerful and\r\n\tflexible as possible at the same time. <\/SPAN>\r\n\t<\/P>\r\n\t<P LANG="en-GB" CLASS="western"><SPAN STYLE="background: transparent">jMDA\r\n\twants to be a competitive option in software development projects\r\n\twhere people feel that modelling and generator technology might help\r\n\tto be successful. <\/SPAN>\r\n\t<\/P>\r\n\t<P CLASS="western"><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal"><SPAN STYLE="background: transparent">jMDA\r\n\tis applicable without massive vendor or technology lock-in. It\r\n\trelies on well established standards and freely available technology\r\n\tonly.<\/SPAN><\/SPAN><\/SPAN><\/STRONG><\/P>\r\n\t<H2 CLASS="western"><STRONG><SPAN LANG="en-GB">Deliverables<\/SPAN><\/STRONG><\/H2>\r\n\t<P CLASS="western"><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal">jMDA\r\n\ttechnologies come as a set of libraries which are organized around a\r\n\tcentral library called <\/SPAN><\/SPAN><\/STRONG><STRONG><SPAN LANG="en-GB"><I><SPAN STYLE="font-weight: normal">jmda.core<\/SPAN><\/I><\/SPAN><\/STRONG><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal">.\r\n\tThis library provides the means to read and access jMDA model\r\n\tinformation. Also available already are the libraries <\/SPAN><\/SPAN><\/STRONG><STRONG><SPAN LANG="en-GB"><I><SPAN STYLE="font-weight: normal">jmda.gen<\/SPAN><\/I><\/SPAN><\/STRONG><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal">\r\n\tand <\/SPAN><\/SPAN><\/STRONG><STRONG><SPAN LANG="en-GB"><I><SPAN STYLE="font-weight: normal">jmda.core.swingui<\/SPAN><\/I><\/SPAN><\/STRONG><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal">.\r\n\tPlease refer to the jMDA Libraries section for further details.<\/SPAN><\/SPAN><\/STRONG><\/P>\r\n\t<P CLASS="western"><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal">The\r\n\tmentioned libraries provide a general framework with rich\r\n\tfunctionality that makes it easy to develop custom generators\r\n\timmediately. The jMDA project wants to collaboratively improve and\r\n\textend this technology but will also add new libraries that address\r\n\tparticular application fields. Above that the project wants to be a\r\n\tcommon platform for the community to share ideas and discuss jMDA\r\n\trelated topics.<\/SPAN><\/SPAN><\/STRONG><\/P>\r\n\t<H2 CLASS="western"><STRONG><SPAN LANG="en-GB">Why jMDA?<\/SPAN><\/STRONG><\/H2>\r\n\t<P CLASS="western"><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal">Today\r\n\tseveral highly sophisticated model driven architecture (MDA)\r\n\tapproaches are already available. So why another solution for an\r\n\talready addressed problem?<\/SPAN><\/SPAN><\/STRONG><\/P>\r\n\t<P CLASS="western"><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal">The\r\n\tpower and range of applicability of many other approaches come at a\r\n\thigh price. They often have to be paid with considerable complexity\r\n\tand abstractness, steep learning curves, lock-in of proprietary\r\n\ttechnology and other disadvantages. This usually leads to a\r\n\tsignificant loss of comprehensibility, transparency and\r\n\tmaintainability to name just a few.<\/SPAN><\/SPAN><\/STRONG><\/P>\r\n\t<P CLASS="western"><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal">jMDA\r\n\twants to bring back what it considers to be the most valuable goods\r\n\tin model driven approaches:<\/SPAN><\/SPAN><\/STRONG><\/P>\r\n\t<UL>\r\n\t\t<LI><P CLASS="western"><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal">Models\r\n\t\tshould provide a common understanding of a domain that is shared\r\n\t\tbetween domain experts and software engineers.<\/SPAN><\/SPAN><\/STRONG><\/P>\r\n\t\t<LI><P CLASS="western"><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal">Modelling\r\n\t\thas to be really easy so that technical and non-technical members\r\n\t\tof a project team can actively take part in modelling.<\/SPAN><\/SPAN><\/STRONG><\/P>\r\n\t\t<LI><P CLASS="western"><STRONG><SPAN LANG="en-GB"><SPAN STYLE="font-weight: normal">Models\r\n\t\thave to be meaningful so that properly functioning technical\r\n\t\tartefacts can be generated automatically based on model\r\n\t\tinformation.<\/SPAN><\/SPAN><\/STRONG><\/P>\r\n\t<\/UL>\r\n\t<P LANG="en-GB" CLASS="western">Moreover jMDA encourages to make\r\n\tmodelling and generating a part of day-to-day business. It\r\n\tencourages software development projects to model often and to not\r\n\tonly do modelling for the large. It encourages to create models and\r\n\tgenerators for mid size and even rather small parts of the overall\r\n\tdomain. It does so by significantly lowering the barriers that have\r\n\tto be taken to follow a day-to-day MDA approach.<\/P>\r\n\t<P LANG="en-GB" CLASS="western">By the way: jMDA is almost\r\n\tcompletely non intrusive. It can smoothly be integrated in running\r\n\tprojects and it can peacefully live together with other MDA\r\n\tapproaches!<\/P>\r\n<\/DIV>\r\n<P CLASS="western" STYLE="margin-bottom: 0cm"><BR>\r\n<\/P>\r\n<\/BODY>\r\n<\/HTML>',SD='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-11-11T22:34:42.49" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; 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font-weight:bold; }\n\t.T13 { font-style:italic; }\n\t.T14 { color:#3f7f5f; }\n\t.T15 { text-decoration:underline; }\n\t.T2 { font-weight:bold; }\n\t.T3 { color:#7f0055; font-weight:bold; }\n\t.T4 { color:#000000; }\n\t.T5 { color:#000000; font-weight:bold; }\n\t.T6 { color:#000000; font-style:italic; }\n\t.T7 { color:#000000; text-decoration:underline; }\n\t.T8 { color:#0000c0; }\n\t.T9 { color:#0000c0; font-style:italic; }\n\t.Teletype { font-family:Courier New; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h2 class="Heading_20_2"><a id="a__Simple_jMDA_Generator_Example"><span/><\/a><span class="Strong_20_Emphasis"><span class="T2">Simple jMDA Generator Example<\/span><\/span><\/h2><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">This jMDA generator example builds upon the \u201CHello World\u201D example and shows how easy it is to develop a simple Java source code generator with jMDA. The purpose of the generator is to create classes with Java Bean like accessors for the fields defined in the domain model classes. The purpose of the example is to be simple and reasonable while demonstrating some typical proceedings for generating source code with jMDA.<\/span><\/span><\/p><h3 class="Heading_20_3"><a id="a__Prerequisites"><span/><\/a><span class="Strong_20_Emphasis">Prerequisites<\/span><\/h3><p class="Text_20_body">In addition to the prerequisites mentioned in <a href="http://code.google.com/p/jmda/wiki/introductionGettingStartedHelloWorld">Hello World Example<\/a> the jMDA generator library <a href="http://code.google.com/p/jmda/downloads/detail?name=jmda.gen-0.8.0.zip&amp;can=2&amp;q=">jmda.gen<\/a> is necessary for this example. This time jmda.gen-version and the files contained in the lib folder of this zip archive have to be added to the java class path. \xA0<\/p><p class="Text_20_body">Second is <a href="http://code.google.com/p/jmda/downloads/detail?name=jmda.core-0.8.0.zip&amp;can=2&amp;q=">jmda.core<\/a>. jmda.core-version.jar and the files contained in the lib folder of this zip archive have to be in the java class path for this example.<\/p><h3 class="Heading_20_3"><a id="a__Domain_Model"><span/><\/a><span class="Strong_20_Emphasis">Domain Model<\/span><\/h3><p class="Text_20_body">Let\'s start with a simple domain model that consists of two classes (import statements are omitted for brevity):<\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle2"><colgroup><col width="428"/><col width="428"/><\/colgroup><tr><td style="text-align:left;width:9.79cm; " class="Tabelle2_A1"><p class="P3">Person class<\/p><\/td><td style="text-align:left;width:9.791cm; " class="Tabelle2_B1"><p class="P1">Address class<\/p><\/td><\/tr><tr><td style="text-align:left;width:9.79cm; " class="Tabelle2_A2"><p class="P4"><span class="T3">package<\/span><span class="T4"> de.jmda.sam',VD='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-11-14T19:35:03.01" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; 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}\n\t.Tabelle12 { width:17cm; float:none; }\n\t.Tabelle2 { width:17cm; float:none; }\n\t.Tabelle3 { width:17cm; float:none; }\n\t.Tabelle4 { width:17cm; float:none; }\n\t.Tabelle5 { width:17cm; float:none; }\n\t.Tabelle6 { width:17cm; float:none; }\n\t.Tabelle7 { width:17cm; float:none; }\n\t.Tabelle8 { width:17cm; float:none; }\n\t.Tabelle9 { width:17cm; float:none; }\n\t.Tabelle1_A1 { padding:0.097cm; border-style:none; }\n\t.Tabelle10_A1 { padding:0.097cm; border-style:none; }\n\t.Tabelle11_A1 { padding:0.097cm; border-style:none; }\n\t.Tabelle12_A1 { padding:0.097cm; border-style:none; }\n\t.Tabelle2_A1 { padding:0.097cm; border-style:none; }\n\t.Tabelle3_A1 { padding:0.097cm; border-style:none; }\n\t.Tabelle4_A1 { padding:0.097cm; border-style:none; }\n\t.Tabelle5_A1 { padding:0.097cm; border-style:none; }\n\t.Tabelle6_A1 { padding:0.097cm; border-style:none; }\n\t.Tabelle7_A1 { padding:0.097cm; border-style:none; }\n\t.Tabelle8_A1 { padding:0.097cm; border-style:none; }\n\t.Tabelle9_A1 { padding:0.097cm; border-style:none; }\n\t.Tabelle1_A { width:17cm; }\n\t.Tabelle10_A { width:17cm; }\n\t.Tabelle11_A { width:17cm; }\n\t.Tabelle12_A { width:17cm; }\n\t.Tabelle2_A { width:17cm; }\n\t.Tabelle3_A { width:17cm; }\n\t.Tabelle4_A { width:17cm; }\n\t.Tabelle5_A { width:17cm; }\n\t.Tabelle6_A { width:17cm; }\n\t.Tabelle7_A { width:17cm; }\n\t.Tabelle8_A { width:17cm; }\n\t.Tabelle9_A { width:17cm; }\n\t.Strong_20_Emphasis { font-weight:bold; }\n\t.T1 { font-weight:normal; }\n\t.T2 { font-weight:bold; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h2 class="Heading_20_2"><a id="a__jMDA_Core_SwingUI"><span/><\/a><span class="Strong_20_Emphasis"><span class="T2">jMDA Core SwingUI<\/span><\/span><\/h2><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">One maybe outstanding feature of jMDA is that it supports having multiple models for one and the same domain. Moreover it is not unusual to have many different generators and processors for each of those models. Then if you work for multiple projects that address different domains it becomes obvious that a management tool is necessary to help configure and keep track of all the relevant things. This is where jMDA core swingUI steps in.<\/span><\/span><\/p><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">The following will give a brief introduction of how to use the tool.<\/span><\/span><\/p><h3 class="Heading_20_3"><a id="a__Prerequisites"><span/><\/a><span class="Strong_20_Emphasis"><span class="T2">Prerequisites<\/span><\/span><\/h3><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">To run core swingUI you need to have the .jar files of jmda.core and jmda.core.swingui in your Java classpath.<\/span><\/span><\/p><h3 class="Heading_20_3"><a id="a__Creating_and_setting_up_a_launch_configuration"><span/><\/a><span class="Strong_20_Emphasis"><span class="T2">Creating and setting up a launch configuration<\/span><\/span><\/h3><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">jMDA core swingUI starts up with an \u201Cempty\u201D interface looking like this:<\/span><\/span><\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle1"><colgroup><col width="743"/><\/colgroup><tr><td style="text-align:left;width:17cm; " class="Tabelle1_A1"><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:13.169cm;width:16.84cm; float:left; padding:0; position:relative; left:0cm; " class="fr1" id="Grafik1"><img style="height:13.169cm;width:16.84cm;" alt="" src="',PD='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-11-16T23:24:22.16" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.Heading_20_1 { font-size:10pt; margin-bottom:0.199cm; margin-top:0cm; font-family:Verdana; writing-mode:page; margin-left:0.75cm; margin-right:0cm; text-indent:-0.75cm; font-weight:bold; }\n\t.Text_20_body { font-size:10pt; font-family:Verdana; writing-mode:page; margin-top:0cm; margin-bottom:0.199cm; }\n\t.Strong_20_Emphasis { font-weight:bold; }\n\t.T1 { font-weight:normal; }\n\t.T2 { font-weight:bold; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h1 class="Heading_20_1"><a id="a__Getting_Started"><span/><\/a><span class="Strong_20_Emphasis"><span class="T2">Getting Started<\/span><\/span><\/h1><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">This chapter has three examples that demonstrate the maybe most important features of jMDA. The first example deals with reading models, the second shows a straight forward approach to generating source code based on model information and the last one introduces Visual Processor, a tool with a graphical user interface to manage model processing configurations.<\/span><\/span><\/p><\/body><\/html>',ED='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-11-25T22:10:16" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.fr1 { font-size:12pt; text-align:center; vertical-align:top; writing-mode:lr-tb; }\n\t.P1 { font-size:10pt; margin-bottom:0.199cm; margin-top:0cm; font-family:Verdana; writing-mode:page; }\n\t.P2 { font-size:10pt; font-weight:bold; margin-bottom:0.199cm; margin-left:0.75cm; margin-right:0cm; margin-top:0cm; text-indent:-0.75cm; font-family:Verdana; writing-mode:page; }\n\t.Strong_20_Emphasis { font-weight:bold; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t.T1 { }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h1 class="P2"><a id="a__Introduction"><span/><\/a><span class="Strong_20_Emphasis"><span class="T1">Introduction<\/span><\/span><\/h1><p class="P1">jMDA is a simple yet very powerful approach to MDA.<\/p><p class="P1">In MDA a model usually is a representation of something called a domain. Each model represents a special view on the domain. It focuses on particular domain aspects and abstracts from other aspects that are irrelevant for the model\'s actual purpose. This way models reduce domain complexity and bring forward a common understanding of domain aspects.<\/p><p class="P1">MDA recognizes the value of models not only as being useful to develop a common understanding and documentation of a domain. MDA also strives to process these models so that valuable (software) artefacts can be created automatically based on model information.<\/p><p class="P1">The picture below shows a graphical representation of an excerpt of a typical jMDA model. jMDA models consist of Java source files and jMDA provides the means to read and access the information stored in such models. With jMDA at hand it is possible to \u201Creverse engineer\u201D an UML class diagram like graphical representation based on Java source code models.<\/p><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:16.009cm;width:17cm; float:left; padding:0; position:relative; left:0cm; " class="fr1" id="Grafik1"><img style="height:16.009cm;width:17cm;" alt="" src="',ND='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-11-25T22:10:36.02" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.P1 { font-size:10pt; margin-bottom:0.199cm; margin-top:0cm; font-family:Verdana; writing-mode:page; }\n\t.P2 { font-size:10pt; font-style:normal; font-weight:bold; margin-bottom:0.199cm; margin-left:0.75cm; margin-right:0cm; margin-top:0cm; text-indent:-0.75cm; font-family:Verdana; writing-mode:page; }\n\t.Strong_20_Emphasis { font-weight:bold; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t.T1 { }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h2 class="P2"><a id="a__jMDA_Models"><span/><\/a><span class="Strong_20_Emphasis"><span class="T1">jMDA Models<\/span><\/span><\/h2><p class="P1">jMDA models consist of (annotated) Java source code and jMDA provides the tools to read and process this kind of models. So what makes jMDA models so appealing?<\/p><p class="P1">The first reason is jMDA models can (and should) be most simple. An average Java programmer and even people who are no software developers at all will be able to understand and create simple jMDA models almost immediately. Please have a look at the \u201Cgetting started\u201D section to verify this.<\/p><p class="P1">Second is: There are millions of people that work with and create Java source code every day. Each Java source code file they deal with is a potential part of a jMDA model. This makes jMDA technologies applicable to software development projects even if they have not been started with a MDA approach in mind.<\/p><p class="P1">Third: There are plenty of most capable tools available to create and modify Java source code. For example modern Java IDEs have structure-, inheritance-, dependency-, \u2026 views directly on board. So there is no need to create a modelling environment for jMDA. Java developers can start using jMDA immediately with the tools they are used to.<\/p><p class="P1">Fourth: jMDA is a textual modelling approach as it relies on Java source code files which are basically text files. However there are (reverse engineering) tools that can provide visual representations like UML class diagrams from Java source file models. So with jMDA you can have the best of both textual and visual modelling.<\/p><\/body><\/html>',FE='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-11-28T22:44:54.51" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.Heading_20_1 { font-size:10pt; margin-bottom:0.199cm; margin-top:0cm; font-family:Verdana; writing-mode:page; margin-left:0.75cm; margin-right:0cm; text-indent:-0.75cm; font-weight:bold; }\n\t.Text_20_body { font-size:10pt; font-family:Verdana; writing-mode:page; margin-top:0cm; margin-bottom:0.199cm; }\n\t.Strong_20_Emphasis { font-weight:bold; }\n\t.T1 { font-weight:normal; background-color:transparent; }\n\t.T2 { font-weight:bold; background-color:transparent; }\n\t.T3 { color:#000000; font-family:Courier New; font-size:10pt; font-weight:normal; background-color:transparent; }\n\t.T4 { font-family:Courier New; font-weight:normal; background-color:transparent; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h1 class="Heading_20_1"><a id="a__Under_the_Hood"><span/><\/a><span class="Strong_20_Emphasis"><span class="T2">Under the Hood<\/span><\/span><\/h1><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">Reading models, accessing and finally processing the model information are the most fundamental steps in a typical jMDA process. jMDA uses standard Java technologies to accomplish these tasks and adds convenient means to enable them.<\/span><\/span><\/p><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">The first step to make all this work is to identify the parts of a model. A jMDA model consists of Java source files, however jMDA does not provide a home made Java source file parser or something similar to read the files. jMDA simply leverage the JDK 6 or above Java compiler for this task. This has several significant advantages above home made solutions: it is reliable, the provided model information is complete and it is future safe with regard to upcoming language changes.<\/span><\/span><\/p><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">The second step is to define an annotation processor. An annotation processor has to be a subclass of <\/span><\/span><span class="Strong_20_Emphasis"><span class="T3">javax.annotation.processing.AbstractProcessor<\/span><\/span><span class="Strong_20_Emphasis"><span class="T1"> which is contained in JDK 6. jMDA defines another (abstract) subclass of <\/span><\/span><span class="Strong_20_Emphasis"><span class="T4">AbstractProcessor<\/span><\/span><span class="Strong_20_Emphasis"><span class="T1"> named <\/span><\/span><span class="Strong_20_Emphasis"><span class="T4">de.jmda.mproc.Processor<\/span><\/span><span class="Strong_20_Emphasis"><span class="T1"> that lays the foundation for many jMDA framework services for model processing, model navigation and code generation. If you want to make use of these features you have to define your annotation processor as a subclass of <\/span><\/span><span class="Strong_20_Emphasis"><span class="T4">Processor<\/span><\/span><span class="Strong_20_Emphasis"><span class="T1">.<\/span><\/span><\/p><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">Once the model files are identified and the processor is defined both are passed to the Java compiler. The compiler reads the model and afterwards invokes the processor which can then access the model information via a <\/span><\/span><span class="Strong_20_Emphasis"><span class="T3">javax.annotation.processing.RoundEnvironment<\/span><\/span><span class="Strong_20_Emphasis"><span class="T1"> instance. This RoundEnvironment instance is the central access point to model information for the processor.<\/span><\/span><\/p><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">How is the jMDA model information presented that RoundEnvironment delivers? Several RoundEnvironment methods return <\/span><\/span><span class="Strong_20_Emphasis"><span class="T3">javax.lang.model.element.Element<\/span><\/span><span class="Strong_20_Emphasis"><span class="T1"> objects. An Element represents a structural part of the model like a package, class, method, field or others. Element instances provide detailed information about themselves and allow to navigate to related element instances and so on. Thereby the complete model information becomes accessible.<\/span><\/span><\/p><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">jMDA makes heavy use of this information and provides facilities that significantly ease information access and model navigation.<\/span><\/span><\/p><\/body><\/html>',KE='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-11-29T22:02:08.14" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.Heading_20_2 { font-size:10pt; margin-bottom:0.21cm; margin-top:0cm; font-family:Verdana; writing-mode:page; font-style:normal; font-weight:bold; }\n\t.Text_20_body { font-size:10pt; font-family:Verdana; writing-mode:page; margin-top:0cm; margin-bottom:0.212cm; }\n\t.Strong_20_Emphasis { font-weight:bold; }\n\t.T1 { font-size:10pt; }\n\t.T2 { font-family:Courier New; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h2 class="Heading_20_2"><a id="a__jMDA_Core"><span/><\/a><span class="Strong_20_Emphasis"><span class="T1">jMDA Core<\/span><\/span><\/h2><p class="Text_20_body">The jMDA core library is the foundation for the most important jMDA technologies. Because jMDA models consist of Java source code files there has to be a way to read such models and to make the model information accessible. These tasks stand in the main focus of the jMDA core library.<\/p><p class="Text_20_body">jMDA does not provide any home made Java source code parser. Instead it leverage the JDK 6 or above compiler to read the specified source code files. To invoke the compiler the jMDA core library contains the <span class="T2">de.jmda.mproc.Launcher<\/span> utility class. It\'s <span class="T2">launch<\/span> method takes a parameter that allows for convenient configuration of the files containing the jMDA model as well as the annotation processors to run for that model.<\/p><p class="Text_20_body"><span class="T2">de.jmda.mproc.Processor<\/span> is another important class of the jMDA core library. It is an abstract class that makes available plenty of added value for custom annotation processors. Maybe the most interesting feature is the instantiation of the <span class="T2">de.jmda.mproc.ProcessingUtilities<\/span> singleton. ProcessingUtilities are very helpful for convenient navigation of jMDA models for example.<\/p><p class="Text_20_body">There is kind of tight coupling between Launcher, Processor and the ProcessingUtilities classes. This is because some information that initially is only available to Launcher has to be available in Processor as well and other information that is injected into Processor by the JDK 6 compiler is necessary in ProcessingUtilities. But if custom processors are designed as subclasses of <span class="T2">de.jmda.mproc.Processor<\/span> and are started via the <span class="T2">de.jmda.mproc.Launcher<\/span> utility it is made sure that everything works together smoothly.<\/p><p class="Text_20_body">In addition to the features mentioned above there are a few pretty useful classes in the <span class="T2">de.jmda.util<\/span> package and its subpackages. In <span class="T2">de.jmda.util<\/span> runtime, string and time utilities can be found. jMDA intensively uses these classes, for example when creating custom code generators. In the RuntimeUtil class for instance there are methods that find out which class and method is actually executing. With this information at hand it is very easy to add hints to the generated code that precisely point to the code that has produced each particular part of complex generator output.<\/p><p class="Text_20_body"><span class="T2">de.jmda.util.classpath<\/span> contains means that help exploring the contents of the java class path at runtime and finally the <span class="T2">de.jmda.util.fileset<\/span> package offers a feature similar to the apache ant fileset. This is especially useful for configuring larger filesets that make up a jMDA model. It perfectly works together with <span class="T2">de.jmda.mproc.Launcher<\/span>.<\/p><\/body><\/html>',ME='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-11-29T22:03:42" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.Heading_20_2 { font-size:10pt; margin-bottom:0.21cm; margin-top:0cm; font-family:Arial; writing-mode:page; font-style:normal; font-weight:bold; }\n\t.Text_20_body { font-size:10pt; font-family:Verdana; writing-mode:page; margin-top:0cm; margin-bottom:0.212cm; }\n\t.Strong_20_Emphasis { font-weight:bold; }\n\t.T1 { font-style:italic; }\n\t.T2 { font-family:Courier New; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h2 class="Heading_20_2"><a id="a__jMDA_Generator"><span/><\/a><span class="Strong_20_Emphasis">jMDA Generator<\/span><\/h2><p class="Text_20_body">At present the jMDA generator library has some useful features for Java source file generators. A general idea is to provide support tailored for the different Java source file types like class, interface, enum, package-info and annotation. It is considered a best practise to divide a task like \u201Cgenerate a class\u201D into more fine grained sub tasks like \u201Cgenerate constructors\u201D, \u201Cgenerate field declarations\u201D or \u201Cgenerate methods\u201D.<\/p><p class="Text_20_body">All the mentioned classes are abstract so that users can extend them do provide the <span class="T1">real<\/span> generator logic. However the overall process of generating source files can be controlled effectively by the abstract classes. So in general users don\'t have to worry about putting the different parts of the generation process together properly.<\/p><p class="Text_20_body">Another interesting class for Java source code generators is <span class="T2">de.jmda.generator.java.naming.ImportManager<\/span>. It is very useful if you want to avoid unnecessary fully specified type names in the generated code. Just ask ImportManager to keep track of all necessary import statements and to find out about possible type name collisions (<span class="T2">java.util.Date<\/span> / <span class="T2">java.sql.Date<\/span>).<\/p><p class="Text_20_body">Finally there is the <span class="T2">de.jmda.generator.java.naming.TargetPackageNameBuilder<\/span> utility that helps building package names for Java types to be generated. It tries to find a <span class="T2">de.jmda.generator.java.naming.TargetPackageNamingInfo <\/span>annotation for a jMDA model type. If this is successful it evaluates the parameters of the annotation. There are several strategies for building package names for generated Java types that can be configured with TargetPackageNamingInfo.<\/p><\/body><\/html>',LE='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-11-29T22:04:41.53" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.Heading_20_2 { font-size:10pt; margin-bottom:0.21cm; margin-top:0cm; font-family:Arial; writing-mode:page; font-style:normal; font-weight:bold; }\n\t.P1 { font-size:10pt; margin-bottom:0.212cm; margin-top:0cm; font-family:Verdana; writing-mode:page; }\n\t.Strong_20_Emphasis { font-weight:bold; }\n\t.T1 { font-family:Verdana; font-size:10pt; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h2 class="Heading_20_2"><a id="a__Libraries_Core_Swing_UI"><span/><\/a><span class="Strong_20_Emphasis"><span class="T1">Libraries Core Swing UI<\/span><\/span><\/h2><p class="P1">This library provides a modern graphical user interface for convenient management of jMDA models and model processor configurations. It is described in the \u201Cgetting started\u201D section.<\/p><\/body><\/html>',HE='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-12-04T17:27:27.53" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.Heading_20_1 { font-size:10pt; margin-bottom:0.199cm; margin-top:0cm; font-family:Verdana; writing-mode:page; margin-left:0.75cm; margin-right:0cm; text-indent:-0.75cm; font-weight:bold; }\n\t.Text_20_body { font-size:10pt; font-family:Verdana; writing-mode:page; margin-top:0cm; margin-bottom:0.199cm; }\n\t.Strong_20_Emphasis { font-weight:bold; }\n\t.T2 { font-weight:normal; }\n\t.T3 { font-style:italic; font-weight:normal; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h1 class="Heading_20_1"><a id="a__jMDA_Project_Roadmap"><span/><\/a>jMDA Project Roadmap<\/h1><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T2">The jMDA project wants to collaboratively improve and extend existing jMDA technology. Above that the project wants to be a common place for the community to develop and share ideas about new jMDA features and discuss jMDA related topics. Finally the project will also add new libraries that address particular application fields.<\/span><\/span><\/p><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T2">Currently there are plans to start with the development of a new library called <\/span><\/span><span class="Strong_20_Emphasis"><span class="T3">jmda.jpa<\/span><\/span><span class="Strong_20_Emphasis"><span class="T2">. Persistence is perhaps the most classic field of application for MDA approaches. The development process of jmda.jpa will entirely be documented in the \u201Cwork in process\u201D area. The idea behind this is to establish a public discussion about the requirements of a JPA persistence library and to demonstrate (and maybe extend) the capabilities of existing jMDA libraries.<\/span><\/span><\/p><p class="Text_20_body">\xA0<\/p><\/body><\/html>',JE='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-12-04T17:28:20.99" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.Heading_20_1 { font-size:115%; margin-bottom:0.212cm; margin-top:0.423cm; font-family:Arial; writing-mode:page; font-weight:bold; }\n\t.Text_20_body { font-size:10pt; font-family:Verdana; writing-mode:page; margin-top:0cm; margin-bottom:0.212cm; }\n\t.Strong_20_Emphasis { font-weight:bold; }\n\t.T1 { font-weight:bold; background-color:transparent; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h1 class="Heading_20_1"><a id="a__Libraries"><span/><\/a><span class="Strong_20_Emphasis"><span class="T1">Libraries<\/span><\/span><\/h1><p class="Text_20_body">jMDA technologies come as a set of libraries. At the time of this writing three libraries were published and each is in version 0.8 to indicate that significant effort had been spent on them though they are not necessarily considered to be production ready.<\/p><p class="Text_20_body">Reaching production readiness is an ongoing process depending on many things. Most important is community support which is much appreciated in any considerable form. There will be updates of the libraries and you can find information about them at the jMDA <a href="http://groups.google.com/group/jmda">group<\/a>.<\/p><\/body><\/html>',GE='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-12-04T17:28:49.25" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.Heading_20_2 { font-size:10pt; font-weight:bold; margin-bottom:0.199cm; margin-left:0.75cm; margin-right:0cm; margin-top:0cm; text-indent:-0.75cm; font-family:Verdana; writing-mode:page; font-style:normal; }\n\t.Heading_20_3 { font-size:10pt; font-style:normal; font-weight:bold; margin-bottom:0.199cm; margin-left:0.75cm; margin-right:0cm; margin-top:0cm; text-indent:-0.75cm; font-family:Verdana; writing-mode:page; }\n\t.Text_20_body { font-size:10pt; font-family:Verdana; writing-mode:page; margin-top:0cm; margin-bottom:0.199cm; }\n\t.Strong_20_Emphasis { font-weight:bold; }\n\t.T1 { font-weight:bold; background-color:transparent; }\n\t.T2 { font-weight:normal; background-color:transparent; }\n\t.T3 { font-family:Courier New; font-weight:normal; background-color:transparent; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h2 class="Heading_20_2"><a id="a__Why_Not_Simply_Use_Java_Reflection?"><span/><\/a><span class="Strong_20_Emphasis"><span class="T1">Why Not Simply Use Java Reflection?<\/span><\/span><\/h2><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T2">The question may arise why not simply use Java reflection to access jMDA model information? Here are the main reasons:<\/span><\/span><\/p><h3 class="Heading_20_3"><a id="a__Loading_Java_Types"><span/><\/a><span class="Strong_20_Emphasis"><span class="T1">Loading Java Types<\/span><\/span><\/h3><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T2">With Java reflection you have to load Java types into the Java Virtual Machine. In a given environment this often is difficult if not even impossible.<\/span><\/span><\/p><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T2">In contrast to this jMDA supports the use of any Java type as jMDA model element. JMDA usually does not load model elements into the Java Virtual Machine. It can inspect Java types at compile time! You do not even need to have the source code available.<\/span><\/span><\/p><h3 class="Heading_20_3"><a id="a__Meta_Data"><span/><\/a><span class="Strong_20_Emphasis"><span class="T1">Meta Data<\/span><\/span><\/h3><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T2">When modelling an application domain it sometimes becomes necessary to provide some extra information about parts of the model. UML for example uses stereotypes for this. This way it is possible to mark business objects as persistent entities for example.<\/span><\/span><\/p><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T2">In jMDA models such meta data can be expressed using annotations. You can define and then apply arbitrary annotations to your model elements. jMDA processors will read them and make the meta data available. This even applies to annotations that do not exist at runtime (and therefore could not be accessed by Java reflection).<\/span><\/span><\/p><h3 class="Heading_20_3"><a id="a__Documentation"><span/><\/a><span class="Strong_20_Emphasis"><span class="T1">Documentation<\/span><\/span><\/h3><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T2">You can not only annotate jMDA model elements with (rather technical) meta data but even provide explicit javadoc comments. This way domain documentation and the domain model are kept together in one place. Above that documentation is also available to jMDA processors so it is easy to reference the right piece of documentation in generated code. This can be a huge advantage for software maintenance because domain model, domain documentation and source code documentation can effectively be synchronised.<\/span><\/span><\/p><h3 class="Heading_20_3"><a id="a__Elegance"><span/><\/a><span class="Strong_20_Emphasis"><span class="T1">Elegance<\/span><\/span><\/h3><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T2">jMDA makes heavy use of the <\/span><\/span><span class="Strong_20_Emphasis"><span class="T3">javax.lang.model<\/span><\/span><span class="Strong_20_Emphasis"><span class="T2"> packages. These packages not only provide much more detailed information about jMDA model elements than the <\/span><\/span><span class="Strong_20_Emphasis"><span class="T3">java.lang.reflect<\/span><\/span><span class="Strong_20_Emphasis"><span class="T2"> packages do. In addition to that it is much easier to navigate the model. Each <\/span><\/span><span class="Strong_20_Emphasis"><span class="T3">Element<\/span><\/span><span class="Strong_20_Emphasis"><span class="T2">, a central abstraction in the <\/span><\/span><span class="Strong_20_Emphasis"><span class="T3">javax.lang.model<\/span><\/span><span class="Strong_20_Emphasis"><span class="T2"> packages, has effective methods to find out about containing as well as contained elements. From there you can apply the same methods to find out about further related elements. There is no way to easily navigate for example to the containing type of a given <\/span><\/span><span class="Strong_20_Emphasis"><span class="T3">Field<\/span><\/span><span class="Strong_20_Emphasis"><span class="T2"> instance using reflection.<\/span><\/span><\/p><h3 class="Heading_20_3"><a id="a__Simplicity"><span/><\/a><span class="Strong_20_Emphasis"><span class="T1">Simplicity<\/span><\/span><\/h3><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T2">Another reason for not using Java reflection is simplicity: jMDA models consist of Java source code files that indeed can and should be as simple as possible. So jMDA model files do not have to be cluttered with (from a modelling perspective) unnecessary technical details such as access modifiers. In contrast to that using reflection requires public modifiers for each type method or field that should be accessible (at least if you don\'t want to have to fool the Java security manager).<\/span><\/span><\/p><\/body><\/html>',OD='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-12-04T17:29:15.23" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.P1 { font-size:10pt; font-style:normal; font-weight:bold; margin-bottom:0.199cm; margin-left:0.75cm; margin-right:0cm; margin-top:0cm; text-indent:-0.75cm; font-family:Verdana; writing-mode:page; }\n\t.Text_20_body { font-size:10pt; font-family:Verdana; writing-mode:page; margin-top:0cm; margin-bottom:0.199cm; }\n\t.T1 { font-style:italic; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h2 class="P1"><a id="a__jMDA_Libraries"><span/><\/a>jMDA Libraries<\/h2><p class="Text_20_body">jMDA technologies come as a set of Java libraries which are organized around a central library called <span class="T1">jmda.core<\/span>. This library provides the means to first read jMDA models and then process the model information.<\/p><p class="Text_20_body">Other libraries such as <span class="T1">jmda.gen<\/span> build upon <span class="T1">jmda.core<\/span>. Amongst other things <span class="T1">jmda.gen<\/span> provides model processors that support the generation of several artefact types such as source files written in your favourite programming language. <span class="T1">jmda.gen<\/span> is designed as a framework that you can easily extend to your individual needs.<\/p><p class="Text_20_body">For convenient management of your models and model processor configurations there is the <span class="T1">jmda.core.swingui<\/span> library that makes available a modern graphical user interface for this task.<\/p><\/body><\/html>',IE='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-12-04T17:29:53.02" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.P1 { font-size:10pt; font-style:normal; font-weight:bold; margin-bottom:0.199cm; margin-left:0.75cm; margin-right:0cm; margin-top:0cm; text-indent:-0.75cm; font-family:Verdana; writing-mode:page; }\n\t.Text_20_body { font-size:10pt; font-family:Verdana; writing-mode:page; margin-top:0cm; margin-bottom:0.199cm; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h2 class="P1"><a id="a__jMDA_JPA"><span/><\/a>jMDA JPA<\/h2><p class="Text_20_body">Persistence is an application area that is very suitable to proof possible benefits of MDA approaches.<\/p><\/body><\/html>',QD='<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE html\n  PUBLIC "-//W3C//DTD XHTML 1.1 plus MathML 2.0//EN" "http://www.w3.org/TR/MathML2/dtd/xhtml-math11-f.dtd">\n<html xmlns="http://www.w3.org/1999/xhtml"><!--This file was converted to xhtml by OpenOffice.org - see http://xml.openoffice.org/odf2xhtml for more info.--><head profile="http://dublincore.org/documents/dcmi-terms/"><meta http-equiv="Content-Type" content="application/xhtml+xml; charset=utf-8"/><title xml:lang="en-US">- no title specified<\/title><meta name="DCTERMS.title" content="" xml:lang="en-US"/><meta name="DCTERMS.language" content="en-US" scheme="DCTERMS.RFC4646"/><meta name="DCTERMS.source" content="http://xml.openoffice.org/odf2xhtml"/><meta name="DCTERMS.creator" content="Roger Wegner"/><meta name="DCTERMS.issued" content="2010-11-07T16:47:21.32" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.contributor" content="Roger Wegner"/><meta name="DCTERMS.modified" content="2010-12-05T21:30:55.73" scheme="DCTERMS.W3CDTF"/><meta name="DCTERMS.provenance" content="" xml:lang="en-US"/><meta name="DCTERMS.subject" content="," xml:lang="en-US"/><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" hreflang="en"/><link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" hreflang="en"/><link rel="schema.DCTYPE" href="http://purl.org/dc/dcmitype/" hreflang="en"/><link rel="schema.DCAM" href="http://purl.org/dc/dcam/" hreflang="en"/><base href="."/><style type="text/css">\n\t@page {  }\n\ttable { border-collapse:collapse; border-spacing:0; empty-cells:show }\n\ttd, th { vertical-align:top; font-size:12pt;}\n\th1, h2, h3, h4, h5, h6 { clear:both }\n\tol, ul { margin:0; padding:0;}\n\tli { list-style: none; margin:0; padding:0;}\n\t<!-- "li span.odfLiEnd" - IE 7 issue-->\n\tli span. { clear: both; line-height:0; width:0; height:0; margin:0; padding:0; }\n\tspan.footnodeNumber { padding-right:1em; }\n\tspan.annotation_style_by_filter { font-size:95%; font-family:Arial; background-color:#fff000;  margin:0; border:0; padding:0;  }\n\t* { margin:0;}\n\t.Heading_20_2 { font-size:10pt; font-weight:bold; margin-bottom:0.199cm; margin-left:0.75cm; margin-right:0cm; margin-top:0cm; text-indent:-0.75cm; font-family:Verdana; writing-mode:page; font-style:normal; }\n\t.Heading_20_3 { font-size:10pt; font-style:normal; font-weight:bold; margin-bottom:0.199cm; margin-left:0.75cm; margin-right:0cm; margin-top:0cm; text-indent:-0.76cm; font-family:Verdana; writing-mode:page; }\n\t.P1 { font-size:10pt; font-family:Verdana; 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margin-left:0cm; margin-right:0cm; text-align:left ! important; text-indent:0cm; background-color:transparent; color:#000000; }\n\t.Text_20_body { font-size:10pt; font-family:Verdana; writing-mode:page; margin-top:0cm; margin-bottom:0.199cm; }\n\t.Tabelle1 { width:19.581cm; margin-top:0cm; margin-bottom:0.199cm; float:none; }\n\t.Tabelle2 { width:19.581cm; margin-top:0cm; margin-bottom:0.199cm; float:none; }\n\t.Tabelle3 { width:19.581cm; margin-top:0cm; margin-bottom:0.199cm; float:none; }\n\t.Tabelle1_A1 { padding:0.097cm; border-left-width:0.0133cm; border-left-style:solid; border-left-color:#000000; border-right-width:0.0133cm; border-right-style:solid; border-right-color:#000000; border-top-width:0.0133cm; border-top-style:solid; border-top-color:#000000; border-bottom-width:0.092cm; border-bottom-style:double; border-bottom-color:#000000; }\n\t.Tabelle1_A2 { padding:0.097cm; border-left-width:0.0133cm; border-left-style:solid; border-left-color:#000000; border-right-width:0.0133cm; border-right-style:solid; border-right-color:#000000; border-top-style:none; border-bottom-width:0.0133cm; border-bottom-style:solid; border-bottom-color:#000000; }\n\t.Tabelle2_A1 { padding:0.097cm; border-left-width:0.0133cm; border-left-style:solid; border-left-color:#000000; border-right-style:none; border-top-width:0.0133cm; border-top-style:solid; border-top-color:#000000; border-bottom-width:0.092cm; border-bottom-style:double; border-bottom-color:#000000; }\n\t.Tabelle2_A2 { padding:0.097cm; border-left-width:0.0133cm; border-left-style:solid; border-left-color:#000000; border-right-style:none; border-top-style:none; border-bottom-width:0.0133cm; border-bottom-style:solid; border-bottom-color:#000000; }\n\t.Tabelle2_B1 { padding:0.097cm; border-left-width:0.0133cm; border-left-style:solid; border-left-color:#000000; border-right-width:0.0133cm; border-right-style:solid; border-right-color:#000000; border-top-width:0.0133cm; border-top-style:solid; border-top-color:#000000; border-bottom-width:0.092cm; border-bottom-style:double; border-bottom-color:#000000; }\n\t.Tabelle2_B2 { padding:0.097cm; border-left-width:0.0133cm; border-left-style:solid; border-left-color:#000000; border-right-width:0.0133cm; border-right-style:solid; border-right-color:#000000; border-top-style:none; border-bottom-width:0.0133cm; border-bottom-style:solid; border-bottom-color:#000000; }\n\t.Tabelle3_A1 { padding:0.097cm; border-left-width:0.0133cm; border-left-style:solid; border-left-color:#000000; border-right-width:0.0133cm; border-right-style:solid; border-right-color:#000000; border-top-width:0.0133cm; border-top-style:solid; border-top-color:#000000; border-bottom-width:0.092cm; border-bottom-style:double; border-bottom-color:#000000; }\n\t.Tabelle3_A2 { padding:0.097cm; border-left-width:0.0133cm; border-left-style:solid; border-left-color:#000000; border-right-width:0.0133cm; border-right-style:solid; border-right-color:#000000; border-top-style:none; border-bottom-width:0.0133cm; border-bottom-style:solid; border-bottom-color:#000000; }\n\t.Tabelle1_A { width:19.581cm; }\n\t.Tabelle2_A { width:9.79cm; }\n\t.Tabelle2_B { width:9.791cm; }\n\t.Tabelle3_A { width:19.581cm; }\n\t.Strong_20_Emphasis { font-weight:bold; }\n\t.T1 { font-weight:normal; }\n\t.T10 { color:#2a00ff; }\n\t.T11 { font-style:italic; }\n\t.T12 { color:#3f7f5f; }\n\t.T2 { font-weight:bold; }\n\t.T3 { font-weight:bold; }\n\t.T4 { color:#7f0055; font-weight:bold; }\n\t.T5 { color:#000000; }\n\t.T6 { color:#000000; font-weight:bold; }\n\t.T7 { color:#0000c0; }\n\t.T8 { color:#0000c0; font-style:italic; }\n\t.T9 { color:#646464; }\n\t.Teletype { font-family:Courier New; }\n\t<!-- ODF styles with no properties representable as CSS -->\n\t{ }\n\t<\/style><\/head><body dir="ltr" style="max-width:21.001cm;margin-top:2cm; margin-bottom:2cm; margin-left:2cm; margin-right:2cm; "><h2 class="Heading_20_2"><a id="a__Reading_jMDA_Models"><span/><\/a><span class="Strong_20_Emphasis"><span class="T2">Reading jMDA Models<\/span><\/span><\/h2><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">To experience jMDA\'s ease of use please have a look at the following simple example. <\/span><\/span><\/p><h3 class="Heading_20_3"><a id="a__Prerequisites"><span/><\/a><span class="Strong_20_Emphasis">Prerequisites<\/span> <\/h3><p class="Text_20_body">First of all you need JDK 6 or above. In particular the file <span class="Teletype">tools.jar<\/span> found in <span class="Teletype">[jdk6_install_directory]\\lib<\/span> is important to be in the java class path when you launch a jMDA processor (see below). <span class="Teletype">tools.jar<\/span> is not distributed with jMDA but you most likely already have it in your JDK 6 installation directory. <\/p><p class="Text_20_body">Second is <a href="http://code.google.com/p/jmda/downloads/detail?name=jmda.core-0.8.0.zip&amp;can=2&amp;q=">jmda.core<\/a>. jmda.core-version.jar and the files contained in the lib folder of this zip archive have to be in the java class path for this example. <\/p><h3 class="Heading_20_3"><a id="a__Hello_World__jMDA!"><span/><\/a><span class="Strong_20_Emphasis">Hello World, jMDA!<\/span> <\/h3><p class="Text_20_body">Let\'s start with a simple domain model that consists of two classes:<\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle2"><colgroup><col width="428"/><col width="428"/><\/colgroup><tr><td style="text-align:left;width:9.79cm; " class="Tabelle2_A1"><p class="P3">Person class<\/p><\/td><td style="text-align:left;width:9.791cm; " class="Tabelle2_B1"><p class="P1">Address class<\/p><\/td><\/tr><tr><td style="text-align:left;width:9.79cm; " class="Tabelle2_A2"><p class="P4"><span class="T4">package<\/span><span class="T5"> de.jmda.sample;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> java.util.List;<\/span><\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> de.jmda.TypeMarker;<\/span><\/p><p class="P6">\xA0<\/p><p class="P5">@TypeMarker<\/p><p class="P4"><span class="T4">class<\/span><span class="T5"> Person<\/span><\/p><p class="P6">{<\/p><p class="P7"><span class="T5">\xA0 \xA0 \xA0 \xA0 String <\/span><span class="T7">firstName<\/span><span class="T5">;<\/span><\/p><p class="P7"><span class="T5">\xA0 \xA0 \xA0 \xA0 String <\/span><span class="T7">lastName<\/span><span class="T5">;<\/span><\/p><p class="P7"><span class="T5">\xA0 \xA0 \xA0 \xA0 List&lt;Address&gt; <\/span><span class="T7">addresses<\/span><span class="T5">;<\/span><\/p><p class="P8">}<\/p><\/td><td style="text-align:left;width:9.791cm; " class="Tabelle2_B2"><p class="P4"><span class="T4">package<\/span><span class="T5"> de.jmda.sample;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> de.jmda.TypeMarker;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T4">class<\/span><span class="T5"> Address<\/span><\/p><p class="P6">{<\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 \xA0 String <\/span><span class="T7">street<\/span><span class="T5">;<\/span><\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 \xA0 String <\/span><span class="T7">zip<\/span><span class="T5">;<\/span><\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 \xA0 String <\/span><span class="T7">city<\/span><span class="T5">;<\/span><\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 \xA0 String <\/span><span class="T7">country<\/span><span class="T5">;<\/span><\/p><p class="P6">}<\/p><\/td><\/tr><\/table><p class="Text_20_body">Note that there is nothing special in these Java classes that make up the sample domain model except from perhaps one tiny detail: The class <span class="Teletype">Person<\/span> is annotated with <span class="Teletype">TypeMarker<\/span>. The reason for this is that this annotation will be used in the model processor below to distinguish Java classes that belong to the model from other Java classes in the project that don\'t. To be more precise: By annotating model elements a jMDA processor can choose to inspect those elements (see below). In this example the <span class="Teletype">TypeMarker<\/span> annotated class <span class="Teletype">Person<\/span> is a kind of central entry point into the domain model. You can navigate from the <span class="Teletype">Person<\/span> model element to the <span class="Teletype">Address<\/span> model element because there is a reference to <span class="Teletype">Address<\/span> in <span class="Teletype">Person<\/span>. <\/p><p class="Text_20_body">After you created a new or modified an existing model you launch a processor that implicitly reads the model and makes all model elements available for arbitrary processing. All you need is the <a href="http://code.google.com/p/jmda/jmda.core-0.8.0.zip">jmda.core<\/a> library. In this introductory example the model processing consists of nothing but printing out some information about the model elements. The complete code for the processor is in this single class:<\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle1"><colgroup><col width="856"/><\/colgroup><tr><td style="text-align:left;width:19.581cm; " class="Tabelle1_A1"><p class="P2">SampleProcessor class<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle1_A2"><p class="P4"><span class="T4">package<\/span><span class="T5"> de.jmda.mproc.sample.getting_started;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> java.io.File;<\/span><\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> java.io.IOException;<\/span><\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> java.util.Arrays;<\/span><\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> java.util.LinkedList;<\/span><\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> java.util.List;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> javax.annotation.processing.SupportedAnnotationTypes;<\/span><\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> javax.annotation.processing.SupportedSourceVersion;<\/span><\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> javax.lang.model.SourceVersion;<\/span><\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> javax.lang.model.element.Element;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> de.jmda.TypeMarker;<\/span><\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> de.jmda.mproc.LaunchConfiguration;<\/span><\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> de.jmda.mproc.Launcher;<\/span><\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> de.jmda.mproc.ProcessingUtilities;<\/span><\/p><p class="P4"><span class="T4">import<\/span><span class="T5"> de.jmda.mproc.Processor;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T9">@SupportedAnnotationTypes<\/span><span class="T5">(value = { <\/span><span class="T10">"de.jmda.TypeMarker"<\/span><span class="T5"> })<\/span><\/p><p class="P4"><span class="T9">@SupportedSourceVersion<\/span><span class="T5">(value = SourceVersion.<\/span><span class="T8">RELEASE_6<\/span><span class="T5">)<\/span><\/p><p class="P4"><span class="T4">public<\/span><span class="T5"> <\/span><span class="T4">class<\/span><span class="T5"> SampleProcessor <\/span><span class="T4">extends<\/span><span class="T5"> Processor<\/span><\/p><p class="P6">{<\/p><p class="P4"><span class="T5">\xA0 <\/span><span class="T9">@Override<\/span><\/p><p class="P4"><span class="T5">\xA0 <\/span><span class="T4">protected<\/span><span class="T5"> <\/span><span class="T4">boolean<\/span><span class="T5"> process()<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T6">\xA0 \xA0 <\/span><span class="T4">if<\/span><span class="T5"> (<\/span><span class="T7">roundEnvironment<\/span><span class="T5">.processingOver() == <\/span><span class="T4">false<\/span><span class="T5">)<\/span><\/p><p class="P6">\xA0 \xA0 {<\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 System.<\/span><span class="T8">out<\/span><span class="T5">.println(<\/span><span class="T10">"elements marked with "<\/span><span class="T5"> + <\/span><span class="T9">TypeMarker<\/span><span class="T5">.<\/span><span class="T4">class<\/span><span class="T5">.getName());<\/span><\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 String indentation1 = <\/span><span class="T10">"\\t\\t\\t"<\/span><span class="T5">;<\/span><\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 String indentation2 = <\/span><span class="T10">"\\t\\t\\t\\t"<\/span><span class="T5">;<\/span><\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T6">\xA0 \xA0 \xA0 <\/span><span class="T4">for<\/span><span class="T5"> (Element element : <\/span><span class="T7">roundEnvironment<\/span><span class="T5">.getRootElements())<\/span><\/p><p class="P6">\xA0 \xA0 \xA0 {<\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 \xA0 System.<\/span><span class="T8">out<\/span><span class="T5">.println(<\/span><span class="T10">"\\tmarked element: "<\/span><span class="T5"> + element.getSimpleName());<\/span><\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 \xA0 System.<\/span><span class="T8">out<\/span><span class="T5"',UB="<img onload='this.__gwtLastUnhandledEvent=\"load\";' src='",RD='>.println(<\/span><span class="T10">"\\t\\tenclosed elements:"<\/span><span class="T5">);<\/span><\/p><p class="P6"><span style="position:absolute;left:NaNcm;"/><span style="position:absolute;left:NaNcm;"/><span style="position:absolute;left:NaNcm;"/><span style="position:absolute;left:NaNcm;"/><\/p><p class="P4"><span class="T6">\xA0 \xA0 \xA0 \xA0 <\/span><span class="T4">for<\/span><span class="T5"> (Element elementEnclosed : element.getEnclosedElements())<\/span><\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 {<\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 \xA0 \xA0 System.<\/span><span class="T8">out<\/span><span class="T5">.println(indentation1 +<\/span><\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 ProcessingUtilities.<\/span>elementInfo<span class="T5">(elementEnclosed)<\/span><span class="T5">.replace(<\/span><span class="T10">"\\n"<\/span><span class="T5">, <\/span><span class="T10">"\\n"<\/span><span class="T5"> + indentation2));<\/span><\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 }<\/p><p class="P6">\xA0 \xA0 \xA0 }<\/p><p class="P6">\xA0 \xA0 }<\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T6">\xA0 \xA0 <\/span><span class="T4">return<\/span><span class="T5"> <\/span><span class="T4">false<\/span><span class="T5">;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P6"><span style="position:absolute;left:NaNcm;"/><\/p><p class="P4"><span class="T6">\xA0 <\/span><span class="T4">public<\/span><span class="T5"> <\/span><span class="T4">static<\/span><span class="T5"> <\/span><span class="T4">void<\/span><span class="T5"> main(String[] args) <\/span><span class="T4">throws<\/span><span class="T5"> IOException<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T5">\xA0 \xA0 List&lt;File&gt; filesToBeProcessed = <\/span><span class="T4">new<\/span><span class="T5"> LinkedList&lt;File&gt;();<\/span><\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T5">\xA0 \xA0 <\/span><span class="T12">// define the domain model, include all .java files that belong to the domain model<\/span><\/p><p class="P4"><span class="T5">\xA0 \xA0 File[] files = <\/span><span class="T4">new<\/span><span class="T5"> File[]<\/span><\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0{<\/p><p class="P4"><span class="T6">\xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0<\/span><span class="T4">new<\/span><span class="T5"> File(<\/span><span class="T10">"../jmda.model/src/main/java/de/jmda/sample/Person.java"<\/span><span class="T5">),<\/span><\/p><p class="P4"><span class="T6">\xA0<\/span><span class="T5">\xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 };<\/span><\/p><p class="P6"><span style="position:absolute;left:NaNcm;"/><span style="position:absolute;left:NaNcm;"/><\/p><p class="P6">\xA0 \xA0 filesToBeProcessed.addAll(Arrays.<span class="T11">asList<\/span>(files));<\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T5">\xA0 \xA0 LaunchConfiguration launchConfiguration = <\/span><span class="T4">new<\/span><span class="T5"> LaunchConfiguration();<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T5">\xA0 \xA0 launchConfiguration.<\/span><span class="T7">files<\/span><span class="T5">.addAll(filesToBeProcessed);<\/span><\/p><p class="P4"><span class="T5">\xA0 \xA0 launchConfiguration.<\/span><span class="T7">processors<\/span><span class="T5">.add(<\/span><span class="T4">new<\/span><span class="T5"> SampleProcessor());<\/span><\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T5">\xA0 \xA0 Launcher.<\/span>launch<span class="T5">(launchConfiguration);<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P6">}<\/p><\/td><\/tr><\/table><p class="Text_20_body">As you can see the processor simply iterates the model elements and calls a method in <span class="Teletype">ProcessingUtilities<\/span> that prints out information about that element (<span class="Teletype">Person<\/span> in this example). In case the element contains other elements the same happens to each of those. The output for the above example is like this:<\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle3"><colgroup><col width="856"/><\/colgroup><tr><td style="text-align:left;width:19.581cm; " class="Tabelle3_A1"><p class="P1">SampleProcessor output<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle3_A2"><p class="P6">elements marked with de.jmda.TypeMarker<\/p><p class="P6">\xA0 marked element: Person<\/p><p class="P6">\xA0 \xA0 enclosed elements:<\/p><p class="P6">\xA0 \xA0 \xA0 element.getSimpleName(): &lt;init&gt;<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 element.getEnclosingElement(): de.jmda.sample.Person<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 element.getKind() \xA0 \xA0 \xA0 \xA0 \xA0 \xA0: CONSTRUCTOR<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 element.asType() \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 : ()void<\/p><p class="P6">\xA0<\/p><p class="P6">\xA0 \xA0 \xA0 element.getSimpleName(): firstName<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 element.getEnclosingElement(): de.jmda.sample.Person<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 element.getKind() \xA0 \xA0 \xA0 \xA0 \xA0 \xA0: FIELD<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 element.asType() \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 : java.lang.String<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 type arguments<\/p><p class="P6"><span style="position:absolute;left:NaNcm;"/><span style="position:absolute;left:NaNcm;"/><span style="position:absolute;left:NaNcm;"/><span style="position:absolute;left:NaNcm;"/><\/p><p class="P6">\xA0 \xA0 \xA0 element.getSimpleName(): lastName<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 element.getEnclosingElement(): de.jmda.sample.Person<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 element.getKind() \xA0 \xA0 \xA0 \xA0 \xA0 \xA0: FIELD<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 element.asType() \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 : java.lang.String<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 type arguments<\/p><p class="P6">\xA0<\/p><p class="P6">\xA0 \xA0 \xA0 element.getSimpleName(): addresses<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 element.getEnclosingElement(): de.jmda.sample.Person<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 element.getKind() \xA0 \xA0 \xA0 \xA0 \xA0 \xA0: FIELD<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 element.asType() \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 : java.util.List&lt;de.jmda.sample.Address&gt;<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 type arguments<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 \xA0 typeMirror: de.jmda.sample.Address<\/p><\/td><\/tr><\/table><p class="Text_20_body">Notice that for a given model element <span class="Teletype">Person<\/span> you also get information about related model elements (<span class="Teletype">Address<\/span> in this case). If a model element is related to another element you can inspect that related element in the same way as the original element and thereby comfortably <span class="T3">navigate the entire model<\/span>. <\/p><p class="Text_20_body">Obviously there are much more useful things than just printing out some information about model elements. The navigation facilities are perfect tools if you want to generate things based on model information. <\/p><p class="Text_20_body">If you look at the processor once again you see that it has a <span class="Teletype">SupportedAnnotationTypes<\/span> annotation and you can see that this processor supports <span class="Teletype">TypeMarker<\/span>. Remember that we used <span class="Teletype">TypeMarker<\/span> to indicate the central entry point into our domain model. However we can use arbitrary annotations including custom annotations that you might want to invent. <\/p><p class="Text_20_body">As a result the processor can access all Java elements in the domain model that are annotated with <span class="Teletype">TypeMarker<\/span> (which happens to be just the <span class="Teletype">Person<\/span> class in this example). <\/p><p class="Text_20_body">Finally in the processor\'s main method you see how easy it is to launch a processor. All you need to configure is the Java file(s) that make up your domain model and the processor that you wish to process your 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',PE='Add 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',iE='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',WD='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',XB='HTMLEvents',wC='INPUT',QE='Index: 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If you are creating a composite, ensure that initWidget() has been called.',yC='OPTION',dE='OSI2Lt3+t54ipW/Gvwvd6x84cjHg5d/deMdX5216+XXB6f3H7kxUl1yG6ObNm2adbQU6/zEkSN1m7eZdS7rf0R41Pml2d7TBwerzUXk0ie85vq9MZk59ggAAKOXeIhCni1kJXfljxY1/opGE8Ny8+rauru+fF0iTTR6MiIOnXj3k77Io7PuaOz79rsnRO09a0puW1IouXJmU+cnX9mVYl9EE4vLAfdc37YCAKBOIBC4fPn3U6ZMHqPvBqyoqJDld1yen5H+tRhwvs4yJPLqCyu57jPN7BozimUOz4rM6X305featnwpmWrWnY3apl19970wS9MHv31I3PhoyW1KKiVXUL2Gd79zoqnpOnHynTd7tfs86jz1vtBn9X56QtNmec4FAEwAwbJg7y9+edPn/0zGZKrLko/f//6KLL/cilwXjHVWWr7ZQ7YZWedSck0Y1lv2YsNffPbtr626t7bWTLDga29/f811NTdo/yoan6+RCeVg15s3vl1TcptiGgt3WX7x2ZcPzbundqus3YceWqC3drnq/Hn93xT74pGWh+Y9Wtulj7nnqtie9EouIAaAse+OxTe/+/MPf/zuT8foOVbGTsFg8I5bb85jWT30soyOly7LmtXf+168WIlhOXDUco+sPvfWZ47eGktnGRwTSrGksg6PPpMcdde5EKn3RXLpqPCYCwCYCPKLZsa6WEPYKB8MW5KtNePNWGghm1jG6K83AEDJivdP6t8vIetUYbm4LD2CA/9R5wCA8eeDf+69MjQ0Rr/jgsHg5IqKWxbW5bRU7Ir35KuT9NArz2vIaC0oNl4uXmqofwAouPd+/uFnrrlm8aIvTJs6VXVZ8vG7y5f/9RdH5FbcnmPHayIa824hi0Vqab94ysvLz58/P3PmzFOnTuVXemRUU1MjK1lWtTlKnSvn2CMAgIIYiUbr/vxPp0yZfOXKFdVlycfUKVNk+bvf+1neOXhfQ5ZNO1lVVdW+fftWrFgxe7Zfb0WfeC5evCgrWVa1OUqdK+fYIwCAgpCBx9SpU8ZoNCYNDQ3J8ufahRIQHrFWzhf1Nzc37969e+fOncPDw7kuiyyVl5eHw+F169aZo9S5co49AgBA3jSh6TGZZgw4Xp2U0zVkfC35jzoHAEB37qPvHhD3r15UWVJZjZrXNWQAAAAovsQte7YWstjfmRbu7Ow8ffr0GH3tFJCHioqKGTNmNDU1qS4IAGA8SDxrTBOWi/pdz8NIZ09Hx9QpU1pbW6urq4tcWqBUDAwMdHV1yYP/seZm1WUBAOjOffTdV98fMAarF69ZvUhY+h/Nvsj7xYEDorbq/feP6YnmPti6VL817pOD2183Joi5dyyWfx8/uN2ewD/WC8aSLWTmQMYryc6dPfuVJ58Mh8OXL18uXhGBklJZWblq1apt27apLggAIKZy0erWRcaQDLE+/GSR54PABt4/e0tr61IjzQcf3Tx7zvHvvi4ebG01Ay8Zt73rSKDsejJnl6U5kmaB4eFh+eVENIYJ5cqVK/Kw5y5XACghliYyUV11zjNN9eKbzdirskrv1zt3vE8svn926gTq2FrIsrzRkqfGYwLimAeAEqJHY321a1pXV8Y6KMcovUXMGIgFZOYzymIXk2W3fLGKBgAAkFF17Ryjf/Hc8b4BUasPDZw9J0SldYpD5Zxa8eqHnyzy+Vqx9MyQKp8WMkFABgAAFKpcdEvV9le3vy8Hq+fOrTam3L/4u69u356c4rlYIlH8ov4SYXsOWWIo/TIy5Rh9KzuQN36EAEBJqFy0erXx71LjYnyrxGX+cWZK61KWewEMC1wJFMnnSf2CL6ei6e9YWr+5Rx+qf67nYLNIjCbH+zYOfPNufcrhJ6oP3C+HHctElBUeAADkx/6kfpF8QFl6BGRF0d+xbvO8H5w5IOOtwxs39mva3WsPnFlrzDq8cfqu7rUvrn3ikekHul+8S09xYO8jS1/Uup+o73vizJm7jcWXrttzDyEZAABjjRGQabYAK2OodfXq1cHBwSIWasKqnnmjeGrl9P/4zqd/e/vTTwtZyydeWXH3c73m3LpZHw8uXHjHypX7X3964e3v7T+y+atPD378yhGxd+/0vfEsVv5qcJAn9hbDtGnTVBcBADBuGU/qNx5kkXh1UjaLcQ1Zcdy25fjxLeKnT91441+Jlf/QHdnd8FZj9/Gu64Q4+crDm6L6tXu3Pdq269vvRrUf9zU+OisaPRkVdW3dXV++LpEH+wYAMEbIqOPy5d9PmTJ5jL6PsaKiQpY/p4u+UnG+XFxvH8uiN5Iuy6I42fnUT+7c0nTb3/T9OPLwpk//d0Rb0HjnLL2yT77zZq92n/H8t1l3Nh779mZNj8fk6KzInN5HX36vacuXVBceAIAcBcuCvb/45U2f/zMZk6kuSz5+//srsvxyK0afldeT+jNFZNxlWSw1N2hb76ndqg8u+Nrb37/5uhsOzjPHFzz00AKhV7us95rbG/u2ftry6xpj7IvPvv21VffWxh63oi+25ro0q0C++BECAAV3x+Kb3/35hz9+96dj9BwrY6dgMHjHrZ6vbcpNKHMSLwRkxXHrM0ePPhMfkZVsGxfxeq9Z/b2jln2gj652pkHJ2/L8TtVFAAD1ChLNjAMezyHLGKTSQoYJqLC/3tY/1lTA3AAAY53nk/ozf/EQkAEAABSKs8sym2YAXi6OCWj0x/zcms8dPfGbmZ/l8RkAMG7J87w821+6dCnXBXO+hqy8vPz8+fMzZ848depUrssCY1RNTY087OXBP5pM5OdTfkqPnfptoUoFACg1+UVjwn2XpfF3ugWqqqr27du3YsWK2bNL6VXpQDFdvHhRHvby4B9lPvJTOv/6awtSJABACZLfF/kt6HwOWcZ+mebm5t27d+/cuXN4eDi/VQJjTnl5eTgcXrdu3eizyvuzCgAYP1wX7efz2IuCfC0BAADA5BmQccE+AACAf2wBWfbvsgQAAMCoBJKNYJkfe8G9+oBbxhub+eAAAETG74t4O1jma8i4Vx9wy3hjMx8cAIDI+kEYXgGZ6xIy7tUHHLK5WZIPDgAgy5vrs73Lknv1gTzwwQEAZGD0Wubz2AsAAADkweyGtF2ybwzGA7JAQNgv529vb/enZMB4wgcHAJAHSwtZPCa7eHl40cKbbrr30YKvTIv/YwSG8VeUa5aZxlM3zEdvBIz/zJIVvCTIkS2Q12xTYnvLhb0GAIDTzYu+cPF3w46HWmhmQBYIBGMTjJjs2L8P3nrHvUuXPhCfmPwn/pCy+NPKAs4Jtm9n9yPNEgFYLBRLDlqXDljzSfFtX1TZrk9JyJHpqb2p52upxtJk6fkqLf15da5lXS+BsKa31JUrhQzwApaqTK4xYEuUqoCpdoMln7T7KdO7wjIK2H82JJ/kl/hJkdy8gGupbPLP8zjzXixVZvYoOzYtXjmaba5mGy32Y6S9ClyMT569+0DzGoxNGO2Ksv6M+vOMbvN86zxqA4GA9XTs9S3gQ9lUSXXecwxb/zb2q5YqfQqp6zCX2g2Uyr7ItxglUnwfDV6++ut/v2g7QvRK0EKRGdN+uK/r+s/92Ynfxu7J/OW/nZd/rAsHLB/KQJz+PWoIBoPuBMLriyRx+GpaVA5Go1FzxDiSNXPRoPm/SP6XXjEeZJtTnko+DGnO6alOAmnODvFZAXdK+xETkPtNxEIooQ8HYgkScYc1DLJ8nSfzdxcjMcU8YDKeCr3neu0zy1Lp9lHazFPOsubo+QFJbI5jilnS5KfDrEBr+e3b4i56lsenZ7I0h2vioErUh/HJTDRli2h8IP6hdVZdxi+gAn5aPePUjNmnC4b0QzoqbGGo8xejdbotV8u8TEXwzGF0uXmtIONS8QqMHX7W87Z5SncTltO7PZMSMupfWEYmtgydx4Nx9KfkSJxuNelqL7eKLfCOyKtgPh0MpXfI5clybFz/R3/ww9e6In80LfT5z39+x/Zv/v0/vv33B47rc1wXk1kW16xfmcbnUv+TGHU86F9zf9Mk59k/N5bf2rH/9XyFLUzwkfH9nv1qS+xNUyl2X8DZGJkMmGInZi1qbZBMRFrW793Ej0AjgtYCmpmteVLX4p3R8eXjx0N81Zr5YXKcpJxTvMpvLVLem5xKpmQZPg7uKbEAMRGlWc7RiY9J8tOR+xdIivjTM5nrR5HQUi0aEMlPnLURLBBvzk4MxILIeHBmzb0gJS+eeAySpo1Ks2x+/CPg2EdpAjKPuamLUdCwzJVBhqXih6slgEj8ipCBqXEAy9AseTDbf2PkUyR/FOJ8bG3vTxwAsQHzCIkPJ/4k+wAsB09hwsMslMJO8akMyk8iBRQ/PO79woy/XtVUe/3nQuFw+HdDI7/+l0N31y0+3Htan5n2S8IRlllZv+NFrvGy5uii0mtdnvID6X/SFk0pHN9pZKyTjO1hKRqiop7tZInjQT8TxZvBtMROCyTT2L5p7OtI2fCWdlY2G5Vxkcw7Mn0LnGd9WyJOx2THz5JEEBYfsH2IPFv29L/jmXj+LMk6JvP4UaSlrhCP/aWJeBRmKVtitsd+zvAdVAqn03QnFb0ZOOr+jKT5zeCRW2HbybLL0Jkim0WSx2HUepQGjTgs0STmaOV1//YuQcVrJxMi3kjmXGOyhcw6kKGUKatRVXNEBukLpPnz8S6Fk0ihaFrDTdce+5dDMgy75pprQtdee+2qv7zr6f/x9Wf/5m//+v4l3b3/t//0/3MtYmsDc5/lk20tlp9QOX9orQe80XRg/JzPkIPyXaOsGS/vufa42TXLI4fEj+hYI5dxqrG0HJg7PVkLiaPB1nGZpnhGstgBk6bjMv0WefZaxv42w7LUeylNnRizPb50XU1fwnrkxyvDKzizNyfbW50tRc9wZBfpyNccA0ZrQCyKFJatttaYvfb8+QWVKtYUWXVcpp1raeb0PHpdP1nz/NlY2IrKL7f4cRiwHroifnBGjVE9PnMtkudJ3jf5ND07OXa69Ydoms+eFj80HYdQqtSlGFukLpXjkl+MRmTGHyz5gh6NPf3U1790S93MmTNDMiirqalZvfI/b/m7F6ZVvLh+Q2tL80MZM0pcrWybmPrA8mxUS3Wk5rm3C3+QjOnDLtPZKIuzVXYnNC3NWNaZ5CJFjlpWTT8ZfuDlWyabVNc+en5q7AlyXlNh09k5Y3NH7fjVG+O/7Bv8fKwCf6o7YPk/PhhINdc2vSQVus48uxWS0z3Dd5HdvivBsCxP42ZDiu5/vda1dtWXf3dl5PbFN8kwbNq0aaE//MM/vHr1qpz38IN3XLx48e+e/4b8U9RCJHpALD0idgHHvwAAAOPKTfNrZAx27bXXTjP8f5dPMf6AvoaDAAAAAElFTkSuQmCC"/><\/div><\/div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;">\xA0<\/div><\/td><\/tr><\/table><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">Now that the \u201Cadd\u201D button is enabled clicking it will display the following file chooser dialogue:<\/span><\/span><\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle5"><colgroup><col width="743"/><\/colgroup><tr><td style="text-align:left;width:17cm; " class="Tabelle5_A1"><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:8.631cm;width:16.73cm; float:left; padding:0; position:relative; left:0cm; " class="fr4" id="Grafik6"><img style="height:8.631cm;width:16.73cm;" alt="" 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p4uxPWmgmz5vCiw7HtC96OoIZzlZZVq1Wu8PpzkjPmDZzblpmrsYJQVkZ8Prb29v3NTZayN/mFV+WkzfTbs8g4Wwny7LNZrPb7TTemXstAAAAAGNN0+Ob3qUVTXEp14dHWdPnK8E+r8fb2a9lT5szd8Hnps+aJ7LHKRiHzeK2W3PSXf55BWc6uo62tR07fnzBggUud7okSTTbZWVlWa1Wcy8BAAAAYNxFQ14qJjzKkXt5wJKexivXXD5HECx8fG+cIPAOgbdbRbd95oxpuSfaTn/Q+HFGVtasWbPcbrdZbQYAAAAwWwrOeBzPllE4K2O4AhzHWUQhg/4pnldWPG+cmgUAAACQehJmiEvdhAcAAAAA5y425CHhAQAAAExsNNclPCsbSniauZMdAwAAAMBFMEJeKr6XFgAAAABGRTThmdOJ17J9xeLqhuh6ec2uytqfkB31VUWmtAcAAABg4otNeCa9mLa8pjE+z1VdZ0IrAAAAACa02Nd4pd4obcv2Fev0PrzY7j0jBUa36OuElawsq67eyTatrfVsq4jtFExKjgAAAABTQwokvIbqxe7q0DJNZTuMpbqNi6vLaj31FaHMp29pqvZ46AZ9y/ZVO9ixbNM2ttNds31TRenWhDLIeAAAADD1pEDCS+hra9mufx48UF6zoyKmGN1Cdu507wyvr20lJfTYTUaZwpLyocsQJDwAAACYapITnkl34yVobWqgAS5BUhasST4QY7MAAAAw5aVAH96QKm5aW1mzu6UqGtaKSssaKrfWVW2rOPtR51IGAAAAYBLhQh9xPXQpkPBi78PTZ0vRFyq21e5yR3aU17AtjTUrFrvd4S3hO/ZiJZVBfx4AAABMPWYnvKKqek9VwrbQbCkV2/RnKPSnKHaVFg1VuL4+pp76s1YIAAAAMKXEJbwUuP8uiua6ytAjE2trPRh2BQAAABhG3ECt2X14ZxfpwgMAAACAcxCd8jh1Ex4AAAAAXBgkPAAAAIDJJmUSXuRlZWY3BAAAAGCiG/uEF/t62cjbY8cfEiQAAABMGaGEx3Hs+YvEyfJGS2ReOpb23BvNCnkAAAAAkw9NcfSPZuKMx0VV9Y1kxbrtLRVVRdG+vfh+PTZLyoGaXZW1Pwl3uRndbzvIunVNZWTnzgZ6QGNJDTs4dGS0Kj1LEla+sqy6emek9pbt66obGshidzUrsWp3XHl06wEAAMDkwhKe3oHHPsdjPjz2YrFdraRu6+LqslpPfYUezzbWeTbpe+lKJWGbW7bXJh/bcKCk0eNppRFwXY2xULN9U0Xp1sVN1R59xjyWBbev2sHek8E2bdPzIitTVbWjpjY0Sks3xZdHxgMAAIDJJX6UNqmLb6y0HDxQXrND77grWlVZXr2rblMJe33Z4mHv0yuvXMWyWEl5eUlowaiK7Nzp3hkutLaVlJDymk1GLYV6mYRTJ5YnSHgAAAAwmYz7s7Qs25VsGnJXeU1tZW3lxrrzvk0vYay1ZXvNeZUHAAAAmOj0IdlIV11iwjNGbMdM3UZ9cLaoqK6soXJrXRXNci27axvWVleQgzSWFVbV1250r9jeWL+KkIYmo3eNFSCVZ62SDfuGqhqBUeG5lwcAgHEXCATMbgLAZBBNeJH78Dgy2iGvoXqxu1pfKq9p9Oi9ZxXbGmtWLHa72Ub9tbMtB42yFdtqd7kXryCNO2pqjf3la9cmjrTGia1KP8OOoUoVVVWvdVe6d7L+u4Ty6M8DAEgZp06dOseSWqSvQhSP6Xp6ekh8V4VRZow7L2DC0+JvUcvKyirQje5ZxvnncOzvwyuqqvdUjbydrtYbS+yFtPpC4nGhApGSsQvxRcNVxVYb+6LbszQJAADMRuPa+R4iCAKNd9dee21mZqY2PneTw6RG/6nwxhtvFBYWjm61CQmP1wk6Y9nr9Y7KaYy30w7RhwcAAGAWi8VyjiVj+/D6+vqysrJUVSMkrqcCfXhwLiI/S3RBVRW3O83j8Zz7j+LZDPmDF9nI6YxsNxo/oomTGkf78DiC/xkAAIDJ6G+72FXW+6D/9qW/bgVBUBRFkqSEQ+h2vRhdpL+e1eRuvKncr8fzgvGV0m8meYGmGZPbl2Loj48s0++HM3rXRrdy+lNK/zVCa6bfuyzLXNjoniUirg8vFPOQ8QAAIJUY8e6uu+769a9/nZzwDDTYKYpqGOfmpTKrVbjxhoqysrJHHv1F7MKNN9547+YtsoyEF4cmPIWl3rFKQjTeXX311W+++SaNevSfK2N0FkOkD4/GeYWgDw8AAFKMEe8uv/zyb3zjG8MW1FQ2xIaEF4cG34ULFy5fvjxh4bLLLtNHJPFdxTF+hAR+lHvvYg0ODn7zm9/87W9/S/Ru1FGt24hwMbOlcFE8/R8IOvEAACBFiKJI493nPve5srKykpKSYUpqGgnlO6SWGDSx5OXlZWZlJSykZ2QYedjsBqYWNsrPBvr5kYteBKfT+aMf/eiHP/whDV5j91cQ+yxt3AIAAIDpaMJbvnz59OnTL7/88qysrGFK+nTBoCTL8rg1L/Wlp6cZCx7PYPJCf/+AOc1KVTRv0R8gp9M+dqeg/2KZNWsW/XnevXv3qlWrxiDhhYJc8n14GiIeAACkCBrX3nzzzXvuuScnJ8fhcAxT0rgPT1EU3FsWi34nwyzgu0rAnj2RZVUZw2dzcnNzL7300qKiokWLFo1pH2rMs7Q8x6l6yEPEAwCA1GB0yD3xxBOPP/643T5cz4qe8Fi8Qx9eLPqdzJw50+12JyzQuKx/Xfiu4igs4SmaNobB65JLLpk1a9bChQsV/cmg0Ro7TZ7ROCbhxRiVkwEAAFw84+HZDRs2vPXWW8MUM/rwZN14NW0CoBli7ty5aWlpCQtOp9OYs8PsBqYW4zsxJlYcIyUlJVdeeSXrLFSUMU1ccQlv7E4DAABwwYyQt3z58mEmmJAVRb8Tzz+mHTATzsCAZ+GiS8+2EAwGTW5fimGzpdB/KIzZjxANduvXr4/MhzdGZzHEvRyGDdTiNjwAAEg9km6YAsFAsL9/QFXpr+cpPMFxEn8gYHYTJg6N9QRr+iwyY3SGMe00TRio1WdLIYSnuTLyOC1uxAMAAJOc+4sEIu+u4Hk+Nze3u7srMzNDUcb2JiqYCgYHvTabLeH1KqNuLO6Oiw15MX14mmY8bjFapwEAADhfZ3tr2TBomeLi4sOHD/f29o5l02CqsFqt06dPv/jgNWINkXg3FiO2YvQMxnO0eJYWAADMc2HDWPm6UW8MTGXBYHDEf10Mz9wnHGLnwwtNl4JxWgAAMMtTv/kXs5sAMIFFUmXsOy30uws5Db14AABgio3fvtPsJgBMEonvtOAIj2eQAAAALsY7f9vnDwRS9q2vPM/bbbarrlwS2ZLiDR5e8uUASejDM7ru0IEHAABwwV5/692M9PRl5V9wOZ1mt2Vog17vB437aTuvXf5FMhEaPLyEywFD/Hx4mPUYAADg4iiqumTx5xwOu9/vN7stQ3M6HLSFe15/w1hN/QYPL+FywBA3Shv5MLFBsWRZPnrk8KyZdk0TeMHOcxbCiXoOFaixnqgGAADgAmia5nQ6UjktBQIB2sLIg6Kp3+DhJVwOGOJHafWZ8lIl3xHS1XFmoKftJ79rLyhIL5idlpauTs8h07LF9HSb4hO7Bx2iYOUFK70KXrTSwEfbLwo0BXLGhJljN8cMAAAAQCpL6MPTUioPaUQNSNLWR08Rwgt2qz3dkjHNNn12Wm6Gs2SBdNUS0S5KghBMs/vT0zS7VeQ5zW4X7BYrJ4ocZ5FV0Wa3u1xus68DAABgsutu+N2L5Ku3lWeb3RAwiCMXMYksy709nYePD/IWtyq4FYtt0OMe9KSfas4gfnd9Web/vINoqnqqix9UJY8/qPnEwaCsBPpd1mCaS3DZyBWXZO//8IPps2bn5uaafTUAAAAAY4f108WuD5HwQpMem0FV1WAweOzY0ZMnT4qimD8jrfGAX5Vkki4Rh0R4/Y/VT/oFNeCw2WwL5/CzugkvWGTOoqpEUWxByRVQicdHDhyW5w34BzxdjoEMJDwAAACYUlLlWVpZlnt6ug+3tgaCwfnzC1etWi0IwonDjafaVZZJFZVIChHpskxUmdgVcsb/9j7b3Gmkt5/wFkJ4YhHYH5eVZFrIzHSiyCKRvf39g6WLMk26JgAAgPMXO9xpLH+VvPhiVw45eLCT7S+9afPqYpPbGEVb+OzbncZy7rL4LXpLI5fDtnddxdpOl97N+WrOOy+Skpy33z4YKWrWNUwacd14qTJK++Ybb73x+ltXfvHzN61eaXU4jx075vV6idRHFG3mwry25gCxOYgmsz+yTKwykaTX3pH/23WiRyK8TNhjtTzheCJwxMqToEa6+skMa19/36Aopso1AgAAXKDOrpw7Nm+moa/5pcd2vVSSKnGo+aVn3865afNtxaEwGruFJbqXmjevzsnpbOqmew415ZTmNDWT4uLuLpKzgG7pfJsmvs2r9Yt6p+GLxbiH7+JFQ55IUmOK47+9/f5L//f93g6SPysnK3t6R0dneloaT5QzZ4LLr5r9p6MniV8iTprwFEIU1pNnkf/2ceBMrxgMEkVi3XicnvA4jlh4MqgQrz+oBPokRUbCAwCACS+3ZIERf4pLSsk7Xd2kOBXSUHdXV+6yrxYPvSV7QUnu203Nq1eXlLIGk66cki/mvPNuM8nu6srJySZdJHfZF41js3NwN9Woi8yWQsx9oYVzpuRe8wqv5DvUGYKo2Ww2RVEIp3r61bIM27xC65FP+ohDJIqNcEGiWok90HzMcaSNuK3E4yd8kLDJ8lTCCcRuJd0eInISpwQ53mqxWEy6JgAAAKD5jTR1N9NY90Ua+rrebe4mOSXlNPGZ3a5JLna2FBObQZxO59f+V55jf7vnmE3M6ZckSVMVwquyovp9wUWl6UcOHCGSg43Ial6i+Ylok9sGDnzKX1rq6OnWBJHnBY7j2Z+ASNp7SH6mrBLJnZaOPjwAAJhgOlmfVzYh3YeaOklJ3K7mpoO5JXekQgceYdktp/OdQ93l5dnhprItu95tLmd329EtpVexTroFJeTFd7pKvprN+vXIu00kB28XG0OhPJcq6UccyC16eUdX3zHfzFZnIDPoD3J2vq/b6wkoPT3e9HQLsfPE7ycukah+IgmE18ig9OnBvsJZfHevQmMci3gCjXiCXeDbT5M5aYoqyzNmTDf7ygAAAM5HdvlXl/3u2cceo4u5paWh4cvOt5997G19qfSmzalzv1rx6puaHtNbFm5q8eo7wq1nTTXGa3MITX9fzTYWDzblsITabWKzp4RUSXg2Fz/NOefYwVPy3IAiqbIip1td+5p7Aj7OM+BXNCW/wHGy1UccNjYQSyTCKTTkHTkZ6OpX+j0Kz2kcr+r9eDTtCT29vN3i8cuS04EHaQEAYILJLr9tc3nMencDyV12R2pOJly8Wn9WIkZi641CxYmLtNhtMYfcRmB0Jc6WQkx6q5tKuIyZlqw2e9AnD1o9/oDfak07eULyBbSePv9A36DTyRNRIT4/cfD62y44wounTva3n3Z396scz15Ty3OsG0/jhb4eLjvd09XhzcxOlQgLAAAAMG6GDEAm3JFH05ndluaw21VVHfQMDgwMaFrm4bZBX4D4BoM+v6Rwms3FBbwBouhzoqgBokqd3Z6TtEyQVkCzncBxgigIXpmXA1ymWz16WJ6Vbx//awEAABhN6OKC85cyXVycKtDkJggap8qyEgwG05ziB/v6/V3qEV6zCqqiEVVRic1GiB7yeBrqeE/3QFuHh2i8rLL78Hh6PC/0e60uh2qxKT5fwOl0mX1hAAAAAOMtZRKeygdlWVVVTlUlmYY82R+Q5szI6G1Xu32qz9NHiF/vXLQSIZ24FPboryh6g/624z2iaFE0Cy+KLOGJQmc3X1IkW7igqokul9PsCwMAgKmF4ziv1+dw2AOBgNltGZrNZqMtjLzHKvUbPLyEywFDqiQ8RVODkl9WWdRTNIk6sP/Uli3Tc2fNbPks+Lf3vUea+4+e9LY0e3t7fKS/mxCa+Rwan3ainU9322mYEwWR8ILGiydO8csup2lPliT2t272lQEAwNTCC/y+xo8/f/llNDOZ3Zah+Xx+2kLaTmM19Rs8vITLAUOqJDxVVQI+v8hxGqdKUiAYlE61tcsnu+dpPZeWFt10Y7EjzX7qlKflsLf1sPfTVu30kcAnn/ne/3Tw+Ac06vWz7j0X78y2pWfYerssM/MyFcXkGf4AAGBq+vKyL7721rt1r/2Xppn09OJIOI7jef7Ly0Oz0qV+g4eXcDlgSJWEJyuK1+vVVEXVrA6ne4bFXlKywG63v/nGmy//x78XFMzp6+0qW1RUWjJn6WXi5Yt8qsDLUnZX36zBQf7EGe5vHytvvek99pnHe5wGPq/IWYJBW1pamtmXBQAAU9GESxsTrsEwolRJeBzRAop0pvPMPPfc4pLi/t7+vQ0Np9vbp+XlrVp148mTJzOzMld//RtOp/P06dOfvv/+mbbDAqe4XGJujuur1xTe/PVsKejq9cz69LD28d+UJUuCJ073OlwTsrcZAAAA4CKlTMLjuJMnjhctWHT5ZYteraurra0tKCj40rXXegYHT5w6dcsttzgcDlrsjTfeaGpuzkxPF51ZzS2H1IBMD3zvo3ZaOC8nLS/P/YWFjoovZgSlrO4e+9Gjn5h9WQAAMBV993dvtfaqQXZ3eSqyinxhJv/IbcsjW5555pm2traJ+6TFzJkz77zzTrMbklpSJeGt/urqp558sruzo7Xls8suu+x73/vehx9+6B0crPy7vzOyHbVnz57ioqLc3NwzHR1SMJibl9N5puNMR3vbqbYPGj/Oy8u99NLLCufP9fl7BI7Lm5YzbTp7ZZkkSRaLxdSLAwCAKWTd03/NyM37xZrLZ2Sl6Ixdp3sGH3/xQ9rOHXd/ha4++dRTTodj8+bN9Des2U27EJ2dnc8//zy9im+vX292W1JIqiS8nJycf3rggdgtX/jCF2JXP/3004KCgo7OTrqcm5NDA7vI84Xz5vl8Pr/ff+LEiePHj/f19Zxqs9ICK1asoJ+CIHR3d9OSSHgAADBuTvvEB2664rJp7g6vnOcUU/Dz8hlpH53xVD3xV6PB3V1d37rvvszMTK/Xa+5Xd2Gys7NvvfXWhx9+2OyGpJZUSXjDGxgY6O/vDwaDNK7Z7Xar1ep0OjmOkzwe+ul2u4uLi6dPn37y5Mne3t7ly5e/8sor11xzDV2mf+u0gMuVov+KAgCAyUfVtGkZznYvG6NN2U9N4NXwk7OSJNFflxM03lF+v5+2n16F2Q1JLRMj4aWlpcmyPHv2bI8e6Sw6nmczHNPARwPc8ePHaeabMWNGaWlpW1sbLd/e3k63072YEg8AAMabRqY7xbZB2ex2DG2mSzztj7tHUNOZ1Z6LN6EbP0YmRsKjysvL33777aKiIqIPv9Kcp+roamZm5sDAAN1Cg11HR8e0adOWL19+7NgxmuizsrJEccJcIwAATA40bpwcCBq/pFIQbVtyIEJImmQmTPqhQe1LX/pSa2urJEl2u93oyXM6nbIs9/f30409PT2zZs266qqrjPILFizgdOY2GwAApiCNaPlp1mP9wRHKtWyrXE8eq9s47yLPd571FKRbT/mVhI1IeJPMhEl4hsLCQvojSMNcR0cHr6PxzuPxTJs2bdmyZYIgRErSXSa2EwAAprjDfUFlxMhUuPFPr7I8mJi2LohyzvXQtiVsob9bU7bH8VwgniabYAmP6DPnZevMbggAAMDQaN6Yn2Ft6R2pD69125r15OGnyH3ryepLvvuTZ9i2W/4U/On15MgT1664/x22vvSR+lc3zqMll3x3H1u/6oF9r3+TsAP1Q+7a2bul9e7vvr+XXJfx3SU/++SP9xSP2LyiTOtJ3wX14bU+tbqKfH3hAw88d/vznb9YQVeXPrBXb+VP9r60ntC9TQvJc8/tJbc/v7fkUbZPL6cfGCoZObDpO/oeQuq35L741eTaCkduDgxj4iU8AACAFEez0qGeoDpiZNILsGS197vN9wUPPUbInnsW/HzbXfPJ9+4v+03P618i5L8233NEe+VXSz7b0BOkqzQU3rx+25efjDlEI9c8+chL3yY/f2XjXPYk78jNo227wPvwaKG9DzZt6eh4lC7v2bKULbKURsPZhicrthNt76cLGjo6Dn8n7+YNDxkLjzy54SsLHl/6wMI/dLy4ghUs37Kn49G7t9ye9+KeR79CD65/8bnbVz+aXBsy3sVBwgMAABhlQZUsyLK+fnKkPjwfK9lOP7/wyE3LyCkvITMXXkq3zCjNJ9/9Vhb5+cknyn/6BDmw7THy6z9k/Tp82F37fAujh0Tq8ZJznP312nxr62BcH55xU/vIR3oCypIH7rhSL3tk/37y3HN5z4X33XLAU6wsuXFZbn+/p2DJkoLQghLwfLR//5IHHtaPyl1245IHX9j1gyuv/fItt+j/ff2F/Q/8zx/0f/TbxNr6+899/mVMi5YMCQ8AAGCUaRr5zxN+VRvpzja934z+v/6p3wcX2lKx5YR/C3n10Xzr98i3/r83FmpfePj/f+Ef8yMHHv4/z0YOiR51rnfS0bYld9id0314+hWFbtmjy0vu3/P8N+dG9h797XZjb6SYsWB0VUaOMpavuev+7b9+TdXqmlbeVaCqR5Nqm9A3BqYAJDwAAIBRRiPNdbPte475RirHwh17IIN+qpoS2dK67ZE9qzffVXHvsf1zKu86on193nt/969/rdr85fgDjUOM1fcOHle1GefWvOsLHM2eC7oPT9PPbBQtKFyw765fvX7nQ19K2puwEFPy6F9377t5wzVsT8F1Kw/++gGNBTy6mlwbXBwkPAAAgFFGA9DLR73yiJlJ771TQp+aHNkyt0T78aXX/5gVueSfP/7F3CLy+s+3XOu43jjq8z/f+YuYQ6i5Vbf+d+f3C37DCn+raMTm0bYltOxcn6XV7/ILzUZLrv7RK9+/9caSEmPXFd9/pYaE9kaKhRZiS37jV59dbVQw59qVTT9rueezOfpqUm3/esfcxNOfFZ6lTYaEBwAAMNo0beVc50uHR3oPWEHVI39i/2WfKlEjW1RSddhbFS7F8g/dfrgq9tDoIbolP/W+9NNw4ZGsnu88NJD4vo1zSnhzbvv972OK0tVPbovdH9obKRa7ECkZd/jZa8Mo7cUxI+HVbXRX7gwtr631bKsY5fpbtq9YR3bUV438rxgAAIAxoBGyq2VQOZfnWs1A23aBfXipCn14ycY74dH0tbi6rNbjMWJd3caNdaRitCMeAACAmWjeuKnI9cIhj9kNGdrfL3Af7L+gPjyYOMY54bXsriU1jdFeu4pt2/TNLPc1sCW9T491wjWVkZ07G+h6Y0kN28d2FEa3h4oWxnTX6V139fWrtq+rbmggi93V5TWN9at2h2tma1WElaksq67eORadhwAAAIxGyJ+a+uURn6U1CW1bch/ehO4Gm9CNHyXGNxB9Wev4Jjwa8BrKqhNHT+s26t169RV60ttY59lESMOBkkaPp3Wju3JdjbFQs33TjvD2ImOod+NNjSWJZyBFVTtqakOxjxZqqjb6C1n+276K1VDNNm0bpysGAICphue5zt7BfyjJ+ONnfWsWpujnm8f6aDuNBlsslp6envz8/OPHj5v71V2YOXPm0PbTqzC7IalAi4S8cb8Pr7wkcYrqloMHymt26P1pRasqy6t31W0qIeWVq1gQLCkvLwkthA43thNScdNaUnPwWGLCS6yZ7NzpDt/zR9a2ElpzzSb03QEAwJjJdyi/fvmjt473Z6fbP9XfAJtqn7Rtv9rdSNtpNDgnJ+fPf/7zmjVriotHfuNZCurr66Ptp1dhdkNSRKg7Mz7hcZHtY6OotKyhZndL1fg9BKGPzUbP1rK9ZrzODAAAU9OT665bt+Ov3//Na2qqDh3yHDfDKe9Y9xVjdf369Y8//vjWrVslSTK3YRfGYrFkZmZu2LDB7IaklnHuw6vYVFOzePHG0vA9cHUbN5JtN5U1VG6tq6Kb2Cju2uoKcnDkHFa3a2d5ZWMBqW1oaqXR0RgBJpWhvcZGFihDNQMAAIybSHiaKBCPJp9IwuP0Ydsx/9dGUVV9I1mx2O0Ora+t9ZCKisaa8Ca6ToPewbMe31C92F0dPpJ1zu0IH1q+dm15+BzVa92V7p2s/y5as96ft2OsrgsAAAAgdZgwHx4NeZ6qYTfR1fqhFlq2J466Dlkbe0Q38ixF4u5QhQAAAGPmmWeeaWtrCwQCZjdkSrDZbDNnzrzzzjvNbkhqiUl4Y30THgAAwBTw5FNPOR2OzZs35+bmmt2WKaGzs/P555+nX/u31683uy0pJK4Pj+NSO+NFuvQAAABSVXdX17fuuy8zM9PrHemtZTAasrOzb7311ocfftjshqSWcMILd+BxvImNAQAAmPAkSaKZA/Fu3Pj9fvqFT9AHgceOGe+lBQAAmNQm+isiJhx828mQ8AAAAEbfaGaO1iduWE+eevWexFcGjJFxPh2MjSESHsclbwMAAIDzMJoJTwtVOE79VMbpWp644dvkyVe+fX45r/XJGy/gKBgD6MMDAAAYZTSMqao6atWpLHOpo1njOZxu3vrdu/WzXsCx49bUMIzSJkPCAwAAGH0XnTnqt+Te/Jy+dPvWn9DPVzbnPKCv3/585y9WkNanVi99YK++f+lP9r60njy1uop8feEDsWViCxmlCqNbjPWYE8YX1lqeXFVFtm8nVaFq9SqHODzazs7OvU9t+Ke9e8mVOf/Edt/warhw+NhwVZ2dVbSipu/ojWQ1PFqS0Bi4aEh4AAAAo+/iEh5NQzeTP3R0rAivbXqwaUtHx6M0Dn0n75EnN3xlfeHdL3bcre+lW7bvuXuDpu1NKLPg8aUPLPxDx4tG1KuiLdqzZSkrssKoc8OTFdFYVf+dxMIk9CdS7RCH0xAXbSctfPf/eeg/aC5k1dZvyQtVSMuWb9nTEdNCVnLL7Xkv7nn0KytI/YvP3b6lYz664UYZEh4AAMAok2W5v7//wo8/sqtWeeDhK8N1eALKkgfuMFbzCpYoAQ9dPPLbNSt+ss8ov6TgIw9JLPPR/v1LwpXQGhTCtpDnnst7LnyaWw7094cmZT6SVJhWaHxGqj2SdPhHgbh2kvCxrHnRCnOX3bjkwRd23VEcrYq68su33PLCrh9cSV547pYbfnBRXxchLpfrYg6flJDwAAAARt9F3YqmqfpHuIrYVWP58G/WXP/yyj2Hnp9LyNHf3vw91egAiytzpHUfKYzbQsssuX/P89+cm9zK5FOEHu+Irzbh8KO/3R7bzth6hqgw/qLINRW3rH31tQryh1sqHhr3G/emACQ8AACA0XdRg44F163UKn71+p0Pfcmoyxgw1',DE='QAAKBZOyAIBwQhkAAAAKlhayMjJAAAAVKDLEgAAwFfJDAwLAACA3Io7MCx3FgcAAPAFw170CdeXf+rg0Q/GjPi06kB6PXkY5cFUHQUAoJCRkBWsfv36mTmZ6kB6PXkY5cHMYm0kygCyKItfGjlBJSkXX9RJyAqZTCN4X+UbEmUA2ZXFL42coJKU4TF3X9EvSMgA/5EoA8hbnKD8Yc3JzEkSMgAAAMVIyArQsidXqw4BAACkgISs0Cz926+rDqHAnTt3Lr0VPS8aAIB8wDd5/1nHvBAkZIXHkS6UlJR0dXV5lpSLHHNilUTmNO5LBsAXaXxp5Jt8htL+om5FQlbIzJQrVk4mZ1pzMrKxnCJRBpC3OEHlAxKygmV92yTMyXhH+YlEGUDe4gTlM0bqL1iPPvqoOTFnzhzP+Q5msVhL4fbtb387k9VJlAHkLU5QvrFfVaxP948s4BqXwjCs4nrVIcADiTIAf6TxpZETVIYy/KJuiraQkZMVDC7PzJ20f4hEogwgb3GCygd0WQI+IVEGkGtpf2nkBJW2bI0YQkIGAADgI+P6sXjjkDFwJZwOrxo/U2zau6AqwzIAACDMnXF5tJCRlgH5jkQZQN7iBJUWuiwBAADUYByyvkp+KRnZtE+fGrfykPxusmt2YOIBY8pY9NK08MwNRvFZ318ZWivyVSYyHa1Kr8yrcv93DwCA3oF7WfYtB49+EJkeM2L/7JHvLtW0emHmVasm713w7KGV40eu2LVg0XszzWxMLpgodpqFjGLf96x41+yRTTfs1PbWh1I0Y46z8ip7AL3UmBGfzvk2SJQB5C1OUNkWEB7XhpGQFTKZDNmSicP/dEBs2BDYEH4867AQVVULNsmULDBSfyvId8LhbS+JlZvqE1V9+L0D4+zF5Bx35f5kMznmPIxZqjMyTaIMIBOcoPyX+TFP6qJ+FAbvNMLrG0jVqBuE2JeFTRbo1xt5GLObk5EoA8giTlD+y+Ix5xqyPklmXvsmyi81z9reNrtm619sdr4aML+bTJ4mRrrKyITtXfN9It93+8Q0o6pl2w4v0Fuso3PclcOJRBlAdmXxSyMnqCRl/Yu6ICHrY+qNduZwNq6/DUatCOjpmEyi6mVKNnL2KO1Z84uPWSZ0KUBVdN64WbPGmVXp5QNN1jnOynvfe0wNEmUAeYsTVM5wUX/fVrVgr7bAOuPZyA1M68OTjjJfMf461zPLPxu/ciSHRBlA3uIE5RMSMiAPkCgDyFucoHwRTsjkEWWAfgAAgNyLdFZ6XdRPTgYAAKCCvcuSnAwAACD3HEORua4hi3QMAwAAIGc8fmUpZ2mkYgAAADnmHqZfWFvIyMkAAACUsHVZhnIy0jIAAIDci4wOyzhkAAAAvuLm4gAAAOol+JWl54VmAAAAyB2vFjJyMgAAgBzj5uIAAADKBMIX83vdOgkAAAB+03MyEjIAAAD/JBgYFgAAAL7hGjIAAAD13NeQaWYXJgAAAHIq5sCw4RtZkpMBAADkXMyBYcnJAAAAlPC6uTgAAAB8xEX9AAAACkSGhxUxEjIayQAAAPzjcXPxAJeRAQAA5Iy1bcxElyUAAIBiJGQAAAAKJLyGDAAAALnhdWkYCRkAAICvuIYMAAAg75CQAQAAKKYnZAGj5Ywx+gEAAHzDRf0AAAB5xHZzcfmXdjIAAIDcMXsmHTNpIQMAAFCMhAwAAEAZs7HM416WCmIBAADoS5IYh4yUDAAAIMesORldlgAAAIqRkAEAAChGQgYAAKCG0Wupd1ySkAEAAPgq5jhk3DoJAADAN9b7JglayAAAAJTj1kkAAACKhRIymYcxJCwAAIASdFkCAAD4x3r1WGTC89ZJNJUBAAD4J5qQmVeP0XEJAADgM7osAQAA/JbEzcUBAACQY/HGIWPYCwAAAJ95tpCRkwEAAPiHLksAAADFuJclAACAGh7jkJGTAQAAKGHrsiQnAwAA8B/XkAEAACjmeeskAAAA5Ir1dpYmzxYycjIAAIDccg0MSwIGAACgDsNeAAAAKMawFwAAAGp4jEMGAAAAJUjIAAAA/OM5ooVzYFi/ggEAAEAILWQAAACKkZABAAD4KqmBYem2BAAAyJXwmBaugWHDsxj2AgAAILfMnMvIyxj2AgAAIF+QkAEAACgWTsg0TbiuLwMAAEDWhTIuzZzW/9JCBgAA4DfvX1nqN7JUEQ0AAAAsNxc3f2Up8zU6LgEAAHxElyUAAIAC1uFh9YQsYFlAxyUAAIDPnC1kobHKAAAA4BfLRf3kYQAAAH7TW8MsF/WTkwEAAKjgdXNxfmUJAADgI35lCQAAoJgtIaNtDAAAwH9mQkYeBgAAoAy/sgQAAFCMa8gAAAB85e6aZNgLAAAAvzku3DcTMs34L0BOBgAA4D/XrZP4oSUAAIC/Qr+yNNrGFIcCAADQhwSiF5NZW8g0xr8AAADwn6PLUqPTEgAAwGf8yhIAAEAxIyELhLIxcjIAAAD/MTAsAACAYgx7AQAAoJjtGjL5ly5LAAAAn4USMjMLo3EMAADAf6GEjMv5AQAAVOGifgAAAMVsCVloWFiu6wcAAPCRs4WMbksAAACf8StLAAAAxbiGDAAAQDESMgAAAMUYqR8AAEAxWsgAAAAUY2BYAAAAxWghAwAAUMw27AWNZAAAAP6ztZCRkwEAAPhPT8isv6sMGPdOUhUNAABAH8Q1ZAAAAIqFEzKzp5JByAAAAHzHsBcAAACK2X9lqTAQAACAvsp+DZmm0WsJAADgM9dF/XRcAgAA+Ms5DpnxLzkZAACAfzyHvaDXEgAAwD+RX1nqf/ihJQAAgP+sLWRkYwAAAAowUj8AAIBi3FwcAABAMUcLmcYwZAAAAD6jyxIAAEAxEjIAAADFPG4uTq8lAACAn+w3F+eKfgAAAN/RZQkAAKAYw14AAAAo5mwhC3AFGQAAgL/osgQAAFCMhAwAAEAxEjIAAADFSMgAAAAUIyEDAABQjIQMAABAMRIyAAAAxcyEjLHHAAAAlKGFDAAAQLFQQhYQAU1w0yQAAAAFoi1k5GQAAABK2G8uTk4GAADgO9fNxbnAHwAAwF9c1A8AAKCYR0JGIxkAAICfaCEDAABQjIQMAABAMRIyAAAAxUjIAAAAFCMhAwAAUIyEDAAAQDESMgAAAMVIyAAAABQzErKACASExk0sAQAAVKCFDAAAQDESMgAAAMWiCRm9lgAAAErYWsgC3FUcAADAd3RZAgAAKEZCBgAAoJhXQkbHJQAAgI9oIQN8dX35pw4e/WDMiE+rDgRAgZCnFHliyUpVnKCSlPkxd/+KkoSsYPG+ypYsnuykfv36mU9NtioE0MfJU4o8sWSlKk5QScriMY8gIStYvK+yJetvPFkbiTKA/MQJyjeafbAxErJCxvsKAID8ZUnJSMgAAADUiKRkJGSAT5Y9uVp1CADgjROUciRkBYj3VR6aP6dBdQgA4I0TVD4gISs0vK8AAOh1SMiAXDF/5Tr8k4NVBwKgzzHH67lw4UKsApygsi7hMY+PhKwQ8L7yXzJvPLlUlnn/+O98iwoATJyg/JdJNiZIyAoD7yv/JfnGk2UYeQSA/86dO5ewDCeo7ErmmMdBQlYgeF/5LPk3XoZvUQDIHU5Q+YOErHDwvgIAoJciIQOybN26dapDAABvnKDyFglZL8b7Kg/xpADIQ5/4xCdUh4AESMh6Mfoo8xBPCgAgLs1zLgkZAACKbdy48cSJE93d3aoDQaYGDBgwbNiwhoaG+MU0V1ZGQgYAgErrW1quHjSoqamprKxMdSzI1KlTp7Zs2SKf0zmNjQmK2nMyEjIAAFQ6c/r0VxctKikpuXjxoupYkKkhQ4ZMnz59xYoVqa5IQgYAgEqXL1+Wn+JkY4Xh0qVL8tmUz2m8Qlrk32grGQkZAKj3gxdeSKbYV7785VxHAiU0g+ookB0pPZWRwiRkAJAXZn3ta/ELbHjuuWxur3PdhEbRsntuZTYrzbMtphpGqhFmdY9IyBLI1ycuG/SnnoQMAPLF7h/vdcwJBALFxf0GFPe/pfYzSkKKJ9efapnUn4t1c7y/fS4h61z/uTli/etzKiMT8csbh8e7IdFcdGTdBM963PXHqUodEjIAyCPlf/Znkeni/v2Ki/tfVdzvgw8+UBhSTJVzd+/uzfWnut1cxiNzg2AwmKva81NQT4fkXgdHzN6505hKsnysRSMavetx1x+nqmxIL9MjIQOAvFNUFCju3/+qq/rrOZnxn7tM57oJNc1t+lTt8q7d9fJRx+KuVXXyceuCkqdWtU+Z0CimjGlu3qgXaXg5smiqMUM0fG+5/LtrQUm0QOW68CpG8egGwg8dFVaaLUb1u8LlovMjkbU7G5RsW6yz7oZjKw1d7dWJ6o8RmJzV2NzWJmpKmmUELaIxvL4RT7xDqRcxW8J2t4joEdWP27ZVoXjmVjrKO54MfRO2Ixn3eEQl9Sne2TLpYfHFUUuWbH5wy6nv3i0f1i4xq36ibUdjpYjOMOeIaPlTbdXWda+NWVKfZdQurNWFtuDaYjSw2o6FxkpC7HmkbPvn3eEJa/APH5r3Dfkc3Vj6jdqmJrG3dI1emVzxfmP7wijhiFATjmYte3jakfUTHxY71ghnJG3VTz8s1tiCN8pL8SK0HCL7vuYICRkA5JGioqJ+/Yr69ysacFX/q2RS1l8+KrrqqmJnOT3lGPNy1+46PVlY0Crmzl3cULKtdVVdnWjdtrFh8SrRIdqaZULRtcrM0NbNr5OZzVTxcldXXaiGCX9jL9AioqvIWTWhDejJxoLWrvnCWWGLGUrl3N1dc4U5s3p+nfxHL1VnbqJxXb01BXGGVP1MnK10rotRf6LA6ubObVm+Ndq9aK5vLH2mde58x6GM7qmZioUOcGX0iBqHdLJ+SL3Lyzn2XW6x7cUEyzPVKfcnxlOfVEImC7Ut7Xjk5Mmn5XTrI7X6pJ55yMRi3vp7ZNIwe/vJ2UbJPQuHrmmdPS9aXiYflnU1EbukPuc76+fdNXJt7ZJRPzq53czMHpbb9tqiGdi1sx95cOj21qfvksv2bN/84KSn3YXXCEsA4q7vLfuXSJ70M1n5kfWT7hc/MlcQRglXhJo1Iduz0BmevltHrm10RXLoO/oiGU+i3bFGKMMJF9+zcGGnpl2b+OnJCAkZAOQLmX4NHFBc3L+fTMXkhEzHAoGAnD9w4CBn0crqMaJ5aonQ24NW6QmUqJvcMFXPH4SZPMjsoXb5/LpQ4Vr5t3PXVrG8pc5SiaOAdU5nx8HaUOHK+im1zdta51d7lI+QacfUg8vbV1V2rjsoNm4s2Rhe0GBLQZwhxd1KrPpTCkw4GsCqO51LozE4hI9oXeu2g8vnG4fUs7yc49xlW0jOZ8rLlStXzp8/H2tp1IXunpolM280yh49cEBs3jx0c3jZA78+f77s6AvT7n6i3ZxRU7H/goiWt64rxSk5tKKmp/vC/gMHapasiKzbI/Q57i2GH9x4xwMPbH3tsRtvf3vrgSVfe+z8/hechS9U2QIw65SPQpW/9mpPeHMiRoRm+dBSV3jhAs5ILhwIBZ9wd6wRlg2/Tix9YOhHPzjyrdsfe0wk9fSEDB48OOmyUSRkAJAvrjISMqNtTNevX6incuDAga6ydav09pfWBSUlU0O9f2b+MFmY+Zgz78ipUHud3h7VmaBjLgv1p7jqhJqtU9q7dlfaGsCSUjd/+VPPtAqx7eCU+fE37djlznVPWWpxPVPekrqiSQsaf4LmP6KmuXXLl6+JLP3N96fV7apvPbRFzjr2wv2Lg2ZrUrR8ZFouTVjyaGe7qLTNkWUcW7QGfetDzWuefyuovdFR/1BFMHjMFd6xF9ZENmGNJ1K5dWn8CN2HwlqDOxJH/bF2xxbhrcsOHVomfrL0uuu+Ih74/qFltyV+ejJCQgYA+aK/0TZWrPdT6oqKigKBgKZpxcWuc3XnugW76lfNlR/2+pVNHZ2irtLIH2qmiuXt3u0wlfVTRM0zrXNjZgS2wtVj2qaahTt3bW1rWFwnOp6KUTaULtU5V8zWVmLVnyCwto5Q41ztlHojV9LLiyleMTy1q3OuzKdcBeQhO/jMAmHmYzHLx99lr2fKU3JdliLabVdRObL9oefebohmCnLR2Po7K/TFx97c2a5N1KzlHdMJS95ad/9X1755tKHhmvAc9xZtKu6sf//5JZqeBcl6PMOz9jnK6fYjR2XBUOV31mv3RMvHjzC0+6HwXAXskUSDt5ePH+GxjUt/fOeyhlv/vuONyvsXy0BvjSZuOUFCBgD54qpi87qx/mY2Jglz5Iv+rnN1ZbVorilp1if11hnzM17vw9sq6mM1TlXObVk+oaakxHhgXtQfW92q9kjhBj0b6uyIUbL1Gb0/cKrRZae3AFlWTNhalsxW4tQfOzDjCjC5jtz+4jE15pGqbWjw6NCUMby8rcQo4S6gZ2T6xWCVccvXOXe5xVqF1zPlkuyvLG0/D/zsN19/dPrnqqvNRWMfff2HM+eOHHVPtf7Mjr3vvrF6W4+IlreuW/5gEiU/+83ndocKGfXrc1xbtGYp5bfXdyw/Mve9cqMaV+EnLZswY7hv1EPVW8Y2zhZiSDBY/uCT0fL3PfdevAjN3Q+H5y5gi8S1O+HycSMsv1ZbHtp5fUfLU/hNJr+yBIDebeCAq06ePDVgwIDiq4qvuuqq0DVkmujXz32uNjvC7GTqIqa0h5IzyxgNkenw9fEhM5wFbMM6OAp7VWj+dUbiWDFuDclsJUH9ntXaDpDzSDlHr3AdS1uFXa7K3cfetcuWTXg9U16S+sAvn/Hii5ai8uHBGdGlMql5/ODBx21rRMvb1x2fTMlIoZ8+PmbPCD0ncW3RFrS+NHZ41k24Y3BWHhTjY0fosb5rFw7G3h3vLTo24YxO5BgJGQDkizGjR2WyuvHzyq5c/zgfuZCf45D97Js3NL5kTk5rOTA+DyPMT7SQAUAvlvmdkepWdSVz4RbyUx6mO+OW7t+/NPwgD+MrLCRkAKAedw3v47i5eCGhhQwAgN6nuLj47Nmzw4cPP378uOpYkKny8nL5bMrnNF6hgMc8EjIAAFQqLS195ZVXpk2bVlVVpToWZOrcuXPy2ZTPaaorkpABAKBSY2Pj2rVrV69effnyZdWxIFPFxcUlJSXz5s1LdUUSMgAAFEvj8xsFhoQMAADANwHPi/5JyAAAABQjIQMAAFCMhAwAAMBXxn3MbUjIEFfnugmNoiXWvYEjS+MXAwAAcZGQIRusN/cFAAApIiErTJ3rJtQ0txmTtcvbd88VegvWlDHNzRv1WQ0vd62qdM2ps65mzuhc19jc1iZqSpplLS2i0VZnpWXpwoXip6WhpjJrDZ1eW4mE2NgxRmzc2OYOKbyuLRipdUHJVKOmcPlQATMeS/jhnbYtjxmbZ2UAAOSWtduShKxA/PfZP0amh39ycOXc3V1zjQcyh3mmde58IdqaOxZ3da0y5jy1bn6La05d9TM1zWNe7tpdZ2Q2C1pl0jK3ZfnWaF+kvU7rUrnCT40Fjhrc262z5DptB6vbu7oqzURrweT26mhhd1V6yjRVvNwVvnmyXEcvqz/SU6t19TJhDK0hly3o7Fz3lPWhaHXunTU2OctWWFTaDykAAMmQH8EplY/kZCRkhUCmDmNGfDry8Ny5c9YmMlFb3an/XT7fTGUqq2tD8+1zOjsO1i5vMeZU1k+pbd7Wuqou0p6lc9ZZ52xGctcwv9pjuxG1U+rNKuomN4inOo5bCntVtVWE5oQKiI0bSzaGHzd0Vk4eI5qnlgi99WuVngBusz6U+Vnc2Ozr6qyHFACAZBw8+kGqOZmJhKzXM7MxPQmL0DOnrVPau3ZXhq67z4Jc1JkhV99ind7a1bqgpGSq0Sm5yvqwvTpuXXWr7OvWmXktAACpkJ/IqeZkZiOZkZB5jRiL3i3c+NS5a2ubmJLUKpXVY9qmGl2RxloNi0OtUW0dZheed52Rpd41dDyVzKZbt22sndJeLrbGCaayskPUmHMcBUI61y3YVb9qrkyt2qsnNHa8vW7bry0PxeR4sTnW9Wj9AwAgh2ghK0SVcxePKakpaZaTtQ0Nzo7CmOpWtS+fUFNSok83vGxeqyWraiiZWrKxdnn74jE1zjojSxcuFKLUo4bOjngbbGs2KzQK6xeixQ9mbktkjtGKFS1gtpZVi3B9+qPbOxd8yfKwslLEia3Svi7ZGADAXyRkhcnsgbOKDksRHqLCPUdEfwvgWZWzTo8NOWqwDofhHhrD0efoKOAOxjnHWcAeS6XzGMSJzeOAAQDgn1BCZvZfBgIqQwEAAOgTXFeL0UIGRRhLFgDQh2n2myeRkAEAAChgzcn62xfQawkAAOCTSEbmbCFz3nwcAAAAOUaXJQAAgGIkZAAAAIp5JWT0WvZaz6zfqDoEAACSMn9Og+oQ8ggtZIVm6d9+XXUIAAAksOzJ1apDyC8kZAAAAIqRkAEAAChGQlbQDq8aP1Ns2rugKm8rzLVeF3B25Xr3+/jhBYDsISEDH6vJsR6lyHR2D13ytWWyXbnuyKZ9xuS4lYdy8rRbNiHErJ3as/XZ3wYAFBQSMghRtWDvXtUx9FK979Dtmj3ypWmHtL1VxvTsw3IfcrKdSK63a3Zg/Krc5H0AUDhIyAqRtX1i3Er7HFebiPy8nLhBn71JzJz57g1iw4Z9YtbOQ6OX6SuEGjdcFSZoZLGXP2S2JFkDEHoDz7Qbmpo26LPcTSju4rbN6at7hVoVnR+qtipGjakGLB/PbNq3T4wMNGnaocj0uG80ix8P3aQfOtfuuOuM80SNW6ntnRyt1ng2XLtsbmKWpi2yltw7eZtz19wvAJsbRoVCqX/2WcfeZ+nwWrdWf++sia8elscvHL9+eKLlI0+++UKM1Ox8vmK+JJzPV7h+6+ZchwAA8g0JWeHZNXtk0w07tb31oY4tY867SzVN/1jS56yabE0O6p/VDo02igmx78DoQ5p2WH4yzlxpTixbtah+1ApnhXrDkLYgtLXAil0LbB95SQSwSW6rSZ/1rFGDvhVLSHryE6rAbMOpd2xuUYxQN4XnV5mf77PvPTQ6HFLsI5DcEVuwaeVLRi+hnBeZ1vOAH5uHzrE7HgfNyb6bu0R0E0Zs7l0Ob8IagL7YEWr8Tev50cTABmsW7Hw2Mz+8m6x7uWzDuGmLrIfIcsD1PGr2LiP/mih2mlWYcTgrtL0kZKW2V8iuFY4K7YcLAPKMx4ivJGQF5/B7B8at3FRvnyM2bAhsCD+eFbObaty0yfqC0ePGjQ5NeFYoHG0wow+Leks6lUwAo8W4lYvMMlXGVqyqRt0gmiYGhJ4yuNpwjM3FCDU630g8xLL3jo1OfAQyOWIRjt3xPGgJd9PKY5fDm7AVc4V6WMTftMzAQ4ljYGIoLcv+4R0t86GRgSbzyJgtWNH4LQenavK0cU2v7lo0+iVhidldYdW99mO161XrQ5mfuSr0PlwAkK9IyPqG7F68rX9+h69DcrfBHH53nxidIAD5CRpvA2bOEE4Z9E6z2JtLUpwjkEzAqfKs08m+m9aetfhHOH6oCY6tdeP3zg7I3OW97B9eI0PK6AC6Vq+3HyvHKyTt7QBAnjATMm6WVECqRt2wb9m2wwv0y262vbRPTDPmTHT2K+of+e8uTebyGneFItpSEp0TqVDvEwuVt9TgCsAtUsPhVbO3TX52QagzVW+GcW8uoV2vbhg37dA14qVYAaQR8L53o01l1mk3d51e+2vbzcOi3lptwl02S7pD9Xy+LMd2/IpRe83SekvV6EXJbMst4eGNw1Je3+KspfVVVe+JkdEa3BU6jtWeVa/+yvJQ3OusULyXVFYKAIporsyLFrLCU//szlcDRnfRuFmzxplzDq0cPzIQMJen3HThqrBqwdIbzBmRTXiXNzfnEcAm5zo2VaOEtb/r7qpR/xRnc3aRnjK9HcXoKTNDincEkghYlpd7PSswMbDBeBSe/kazEEPjH7RwnYl2Uw8ouomlN4yMt8vWYFyhul4A1hUnTztgK11VJeI+m3ZJHt74z6+tvKxHT7sWbIrWoLeAOXfK8ZI4PLvOeuiqhKPCw+/FjwAAlHOkZCRkhSh0lZBF9LJt65zwtNm/FhnBwT3hqrDKtQVbhZHyu2YHXjV+0ucKIDpahHVzmvcOuHfIO1TjQiVbsmWrPPYRSCJgRxiOkDx2x12nk3u3rLNi7LJHSVeo3i+A6JRjx3JxeJ2jgTjGB/F+OqxznAXsMbpegI7Ve99wJAD6ulBCpgktIAJqQ4ESswMBY9CLZ9O/3MclOoBBuP0jz+UiYFedlhkhuRqWFQDQ60RbyMjJ+iZ3I03mPFp+/JFuu0guAnbVqeyoZA3NTgCQVZreGxLqv6DLEgAAQDESMgAAAMVsCZnG+BcAAAC+o4UMAABAMRIyAAAA/2iaR5+kR0JGxyUAAICfaCEDAABQjIQMAADAb5r9fpYkZAAAAAroKVk4KyMhAwAAUIyEDAAAQDESMgAAAMVIyAAAABQjIQMAAFCMhAwAAEAxEjIAAKDM/I0/++25nitB1XGkpX+RqPhEv2caPpuFqjKvAgAAIA1fWf/mgNKyWV/6yyElg1XHko4zXX987Y3/kHvxgzl3ZVgVCRkAAFDj5KV+cz83dvo1/+v0he7Sjw3ofX+v/fgPj/1h3Q/ezPxQkJABAAA1NCFKPn71qQvdcqKX/v23y/21xDuaGAkZAABQRxNlHxvw+wvdquNIx598bMDOMz1ZqYqEDAAAqPQ/5z8MBnN2Vf+R732hUTzzxt9cG2dOumTk/34l41oMJGQAAECZoND+9OODPjj3Ye42ocmtaCIYd056Pv2JQdvPZCcjIyEDAAAqHe+62KNl5UIsL5qQdQc1rSfOnHTJyPdnqWmPhAwAACgjc6Pykqt/e/ZiJpUcXX/Xbc3vGJM3/90v33yoUojONfd+ZvEvzcW1T8mtaO45GQWuq/jk1dtO00IGAAB6O00cPXsxw2amijlvHp1jTLU+POJ7u7+yUjR/ZvH1L118pU7PzP56jgiK3X/rnJOFLksZ+YG02tncDYIkZAAAQJnLweCIsqt/8dtzGdVydN3Xbnt0vzn9mZH/71fiwGe+/Xc3Xf7dH4T4Y8/lHnHqV+865/zh8qCMg7+p4hOv/v6jjKvRkZABAABlgpp457ddGfUf6tnY1rt/0rVhhDHdpDc/aaFLxYTZGuU1JwuXrcnI/ztLF7+RkAEAAJVurijZ+5sz6a/fo4nPfOmW8mBPj/ivN7b+SnwpWF5d+csVPz3SeP+I2HN6gplf1D/+2iGv/C7dFjLN1nMZSsjknEAg47gAAABSIVOSn3SezuhXltc0Plhdev+135CTN0yfeYMmM7S7Fr6w7bY7hzwTb04WfmUpI/99xpWYoi1k5GQAAMBvmritsvStI6cyqePGJ0699YS1Ti1429NvHXk6wZxMNmm447qyl/+Ha8gAAEAvFxTano6TPT05G4csl2Tkp7MweobOlpDRSAYAAHyliburh+5+73eq40jHhFGf+qcTGd2FM/JrBmcLWe5GygUAAHCQiceud/8n2DvzDxn5OX5lCQAAerVAQJz/w8X7R//pjl+fmPTnw3rj3+feP5tq76KewrkSUBIyAACgxqcGBne/uf/5jrN/+NjALR98+AchetdfGfnre/bLvcj8UJCQAQAANZ5vvPMrLW9ufvEnWbpDt9+KhCgb1PODxrsyr4qEDAAAKJOVbKY3Mm8eEEFCBgAAoBgJGQAAUObn/9Z+qbs7GOyVnZZFRUUDBwy45caazKsiIQMAAGq8vfedT3z84+Nu+qvBV1+tOpZ0/PHixX//zwNyL24ff3OGVYXvZSkEI8ICAAA/9QSDNf/nLwYNGnjp0iXVsaTj6kGDZPytb/807Roiw19Y7mVJTgYAAHykadrVVw/qpdmY1N3dLePXsjGqLV2WAAAAipGQAQAAKGa/ubiqKAAAAPowWsgAAAAUIyEDAAB578wv/nG7qC7dt+/967/QNKlKPty075S+oGzczBk3Cbn0dKl4//1T4vovzCz9ub7MKGesGCoZWfH0LcYSIQ7vWNlR7a5tiIL980jI6LgEAAB559Q+mUk1TRJ6IqUnVU16UqUnar8Y+Xm59HTpzKamMztWvrZ9nDnx81/cXFX6zqZ9pV9omlFlJGY7DjdNuumW61d2HJ5UJVc+3PH+9dWT3LWpSMloIQMAAL1B2bibjXYtceb0afH+ayvfDy+4/owoFWXVI/U0qrSsrDQ0YZYsG/d5Y60hI6vL9hmZWPX1rxn/Hu44rdd45heu2gQJGQAAQCKOrsUzv/h58utW3Tzu5+8cFqLjdPXNsoozCjoq3b2RJGQAAKBXGVJaeuq1dw7fZF4IlmTJM4c6Tl1/S7ix7PQ7O0L5WAq15RIJGQAA6F2qJs0c94+bVq40H5WNm/n5ZEpe/4WmUM6lZ2T6BWlDvGvjGjIAAAAPQ26aMcP+sOkm6/LQ0kgx64S9ZHhmvNp84LjhEgkZAACAAtacjIQMAABAMRIyAAAAxUjIAACAGoFA4OLFDwcNGtjd3a06lnQMGDBAxi/3Iu0aNC00BAYJGQAAUKOoX1H7f/7qM3/5v2VOpjqWdHz44SUZv9yLzKsiIQMAAGrcMe7mt/a+88ZbP3H85LC3CAQCRUVFd4y/OcX1PHaXhAwAACiTejZTmEjIAAAAFCMhAwAAymzcuPHEiRO996L+YcOGNTQ0pLGuo9eShAwAAKixvqXl6kGDmpqaysrKVMeSjlOnTm3ZskXuxZzGxjRWt+ZkJGQAAECNM6dPf3XRopKSkosXL6qOJR1DhgyZPn36ihUrMq+KhAwAAKhx+fJlmdP00mxMunTpkoxf7kXaNYSHIYskZJomMhjWDAAAIA2aQXUU6ctW8LSQAQAAlVLLaTrXTWgULbvnVma+4SxWlTESMgAAoFJqCZkWWiULDVNZrCpjloSMXksAAOAvmQ4Fg8EUVgjq6VMwtXVyWFU66ZzXGvYWMnIyAADgrxRbyDRzlSMtk2qXtBmzap9o29EoWiY9LNbsaNT7HzuN6TXi4YfFF0ctWbJZL/TgllPfvVv+u+eRsvuNGeLB1U/Iv683ldoL+MG9y64uy8htxwEAAHIv1YRMT1U0rXL29pOzjTl7Fg5d0zp7Xmi+Fi0jtLalHY+cPPm0UeY76+fdNWH3pPvFj06eNBMvmbd93VGg0bfryRx7zTVkAABAmStXrpw/fz6FFS509/SIC3Kdoy9Mu/uJdnNmTcX+CyI0P1JGzqlZMvNGY9bQipqe7gv7X3u1Z8mKG8MblMUcBVILRTd48OAU1/BGQgYAAFRK7SIuTS+s/eb70+p21bce2nKNEMdeuH9x0GxvCl2PZpaJPycy01ogK5emJdwDr75IEjIAAKBSqr+yDHVHjq2/s0Jf9dibO9u1ifqc9iNHNa1CWOZEOzGN6Yo767V7nnu7Ydlt1qosBfz9xaV1DLaUE7JlT67OdjwAAKCPSvNXluUz544cdU/1cjk99r77xgpNznny0emfq66OzjFqDf2IMvSDyvIHI4WEuO9bj7oKpNxCloUUzqggtYRs/pyGTLcKAABgkVoWVD7jxReN3Orxgwcft9UiZrx4cIatrFkyaFkrWG4vdK+rQPr7kbyA+/4EekKmpTjexcaNG0+cONHd3Z31ANMwYMCAYcOGNTQ0RObkVXjxuYMHAKBPSbmFLM+kNQ6Z5l435S7L9S0tVw8a1NTUVFZWlnIEOXDq1KktW7bIqOY0Nor8Cy8+R/AAAPRBvTohS0+khSz9a8jOnD791UWLSkpK8uTe7EOGDJk+ffqKFSvMh/kWXnyO4AEA6Gv64M3F9RVc3ZLRhMysMGHH5eXLl2UakT/pzqVLl2Q8MirzYb6FF58jeAAA+pTi4uKzZ88OHz78+PHjqmNJR3l5uYxf7kU6K9szrnSGvci3ZNYRTL6FF18vChUAgOwqLS195ZVXpk2bVlVVpTqWdJw7d07GL/ci1RXDQ20IIy/T/3UmZEmmB3meRqQcXue6CY2iZfdc5w0TYs0HAAAZa2xsXLt27erVq3tpZ1FxcXFJScm8efNSW80cnzZ6DZneVpbmwLCFlpCFD41ztVjzpc71n5sj1r8+h1wNAIC0pZzNFIQkbi6eXC159YMId5dlyuHFGg4uzjBx6Y4g55DnqS0AAMgu89ZJliusvLosk60rmTSis2XSw+KLo5Ys2aw/enDLqe/ebcysXdKmz6h9om1Ho9DLrNnRWKnP71ioF5FTa0bu+O7d6UWWfHjCGowejn5gnOGFD5ljvgx33jfa2sSNpd/QH0/YbV+aQegAAKDABTTXUGS5TMhkobalHY+cPPm0EHsWDv3O+nl3jVxbq8/Qky2Z4sxbf8+OkaPadnTKkq//y6gHR29v1e66u7NDG3lPZg1Hya29Z2HtklE/OrndTBMfliu1PuIIb415ZyvX/B2Ns7+37F/MVFLseWSocykpGQAAiC+jgWGlK1eunD9/PnG5C909NUtm3miUHVpR09N9Yf+BA2Lz5qGbwyUe+PX5/3vHA08d2H/+4q+vu+NrFWuee+380M4D11WWJbWBkMGDB6cT3tEDB2qWrDDDk6H2CI/wLlR5zz9/vsxcRa591GtpusEDAIC+I9JtmWYLWVKXTmlB408wGJmW26xpbt3y5WssFR2rFLuPvnW4o/KhijvqO55/66iovmdmhpdmZS28Yy+siRF2MLK6nHAvzSR6AABQyDT37Sxz2mVp9veFhtrQpysqR7Y/9NzbDctui5aquLNeW7ymY+JTFZo++fxucd1DmV7pntT6ejBr3zza0HCNOPbmznZtokd4scPWF7UfOappFZ5LAQAAYoiMdhHRP7IgkPTdxZP9GaP1d4ih6c9+8/VHp3+uutosMPbR138485rya7V/F/VPluu3YL9W27LzutfLU2tiSvdXlp/95nO7R91TvVwGct99Y/XWLld4T4rYYT84975RD1Vv0R+5l6YbPAAA6AscCUAuuyzLZ7z4YrhoZFpOHJxhr2j84wfHh8pZJjORbAVycwcft63mCE+I2GFH1w4Kj6UAAACezGwskOGvLAtwHDJ1aCEDAKBv0vsnRWgUeiMhswzhn2THZZ5nPHkeHgAA6LMsN01ytZCleg1ZXrXrcHNxAADQiziyMWHtsjRzMiOXiZciFBcXnz17dvjw4cePH89doMkrLy+X8ciozIf5Fl58juABAECf4n0NWTLtZKWlpa+88sq0adOqqqpyFV0qzp07J+ORUZkP8y28+BzBAwCAvinli/obGxvXrl27evXqy5cv5yKgVBUXF5eUlETuFZ9v4cXnCB4AAPQFAfk/LdI8Fr25uJbSNWR5nkDkeXgAAAAOHteQKYwGAACg77BdQ6ZZsjG9nSxRSrZx48YTJ050d3fnOsqCN2DAgGHDhjU0NKgOBAAA+Cc0IoSlczLlFrL1LS1XDxrU1NRUVlaWqzD7jFOnTm3ZskUe0jmNjapjAQAAvrLmZKGBYSN5WMIryc6cPv3VRYtKSkouXryYyyD7hCFDhkyfPn3FihWqAwEAACrZBoa1Xu0fy+XLl2UaQTaWFZcuXZIHs1f8IBQAAORONCETSd83qXcNhZ/nOJIAAPRZroFhjVQsPJB/CusDAAAgbWZGlU4LmSAhAwAAyB7bryyTXEeWDAaDuYmnzyG1BQAA5jhkqY3UL/IjjehsmVS7pE2fqn2ibUejiDyMPu5YeOq7d+tz9jxStv3zctqxTqWy4AEAACLsLWT6qLBJXbCvPiHrbJm3ZNSPTm6X+daehQs7Ne3u2dtPzjYW7Vk4dE3r7KdnP/Lg0O2tT9+ll9i++cFJT2utj9R2PHLy5N3G6pPmrb+HlAwAAOQB2zVkSbpy5cr58+dzE0/SyoZfJ5Y+MPSjHxz51u2PPSZkQEdfmHb3E+3m0pqK/edvvPGOBx7Y+tpjN97+9tYDS7722Pn9LxwQmzcP3Ryu4oFfnz+vfHDbwYMHqw4BAAAo5hyHLMmOyzy4huzWZYcOLRM/WXrddV8RD3y/tXJt3a761kNbrhHi2Av3Lw7ql7nd+lDzmuffCmpvdNQ/VBEMHguKmubWLV++JlJHHuwGAACA69ZJ8YeFtRTOXUxJObZx6Y/vXNZw6993vFF5/+Ij/1Wpja2/s0KP69ibO9u1iUbPa8Wd9e8/v0TT8zH5sKJyZPtDz73dsOw2xbEDAABYpTxSv8iTX1mWX6stv6d6uT459tHXf3jzNdfuGGU+HnvffWOFHqEMsfz2+o7lR+a+V248+uw3X390+ueqq80a9NVmXhNnE75Qn9oCAADVQveyTJX6hEyMf/zgwcfDD2Q8tsciHGL5jBcPWsLVH85wliksy55crToEAACQGq9xyBLlZ3nRQlYosttCNn9OQxZrAwAA/vAYqV9L',jA='RTL',$D='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',vC='SELECT',wB='SOUTH',sA='STRETCH',iB="Should only call onAttach when the widget is detached from the browser's document",jB="Should only call onDetach when the widget is attached to the browser's document",YB='SimplePanel can only contain one child 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"/><\/div><\/div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;">\xA0<\/div><\/td><\/tr><\/table><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">To add the .java files of de/jmda/sample just navigate to that subdirectory of src/main/java and finish the dialogue by clicking \u201Cselect\u201D. The main window now looks like that:<\/span><\/span><\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle8"><colgroup><col width="743"/><\/colgroup><tr><td style="text-align:left;width:17cm; " class="Tabelle8_A1"><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:13.169cm;width:16.84cm; float:left; padding:0; position:relative; left:0cm; " class="fr6" id="Grafik8"><img style="height:13.169cm;width:16.84cm;" alt="" src="',MC='',NC='',CD='day-to-day 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',YD='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',UD='ed_20_Text">class null<\/p><p class="P15">null<\/p><\/td><\/tr><\/table><p class="Text_20_body">This indeed is not too spectacular but at least a package name (de.jmda.sample.impl) that obviously seems to be based on the model\'s package name (de.jmda.sample) was generated. In fact this is due to the TargetPackageNamingInfo annotation in the domain model classes. You can change the behaviour of the package name generation by specifying additional attributes to the TargetPackageNamingInfo annotation.<\/p><p class="Text_20_body">To improve the generated output the almost empty method stubs of the generator have to be modified appropriately. The first stub is generateTypeNameSimple():<\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle5"><colgroup><col width="856"/><\/colgroup><tr><td style="text-align:left;width:19.581cm; " class="Tabelle5_A1"><p class="Table_20_Contents">Modified generateTypeNameSimple()<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle5_A2"><p class="P22">@Override<\/p><p class="P4"><span class="T3">protected<\/span><span class="T4"> StringBuffer generateTypeNameSimple() <\/span><span class="T3">throws<\/span><span class="T4"> GeneratorException<\/span><\/p><p class="P6">{<\/p><p class="P4"><span class="T3">\xA0 return<\/span><span class="T4"> <\/span><span class="T3">new<\/span><span class="T4"> StringBuffer(<\/span><span class="T8">inputTypeElement<\/span><span class="T4">.getSimpleName());<\/span><\/p><p class="P6">}<\/p><\/td><\/tr><\/table><p class="Text_20_body">This results in the following generator output (file headers omitted):<\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle6"><colgroup><col width="856"/><\/colgroup><tr><td style="text-align:left;width:19.581cm; " class="Tabelle6_A1"><p class="Table_20_Contents">Output 2 of Rudimentary Sample Generator<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle6_A2"><p class="Preformatted_20_Text">/**<\/p><p class="Preformatted_20_Text">\xA0* model type: \xA0 de.jmda.sample.Person<\/p><p class="Preformatted_20_Text">\xA0* generated by: jMDA<\/p><p class="Preformatted_20_Text">\xA0* generated at: 2010.10.11 08:24:17<\/p><p class="Preformatted_20_Text">\xA0*/<\/p><p class="Preformatted_20_Text">package de.jmda.sample.impl;<\/p><p class="Preformatted_20_Text">class Person<\/p><p class="P15">null<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle6_A2"><p class="Preformatted_20_Text">/**<\/p><p class="Preformatted_20_Text">\xA0* model type: \xA0 de.jmda.sample.Address<\/p><p class="Preformatted_20_Text">\xA0* generated by: jMDA<\/p><p class="Preformatted_20_Text">\xA0* generated at: 2010.10.11 08:24:17<\/p><p class="Preformatted_20_Text">\xA0*/<\/p><p class="Preformatted_20_Text">package de.jmda.sample.impl;<\/p><p class="Preformatted_20_Text">class Address<\/p><p class="P15">null<\/p><\/td><\/tr><\/table><p class="Text_20_body">Ok, there are class names now but the rest of the classes is still disappointing. This will be improved by changing the generator\'s <span class="Teletype">generateTypeBody()<\/span> method:<\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle7"><colgroup><col width="856"/><\/colgroup><tr><td style="text-align:left;width:19.581cm; " class="Tabelle7_A1"><p class="Table_20_Contents">Modified generateTypeBody()<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle7_A2"><p class="P22">@Override<\/p><p class="P4"><span class="T3">protected<\/span><span class="T4"> StringBuffer generateTypeBody() <\/span><span class="T3">throws<\/span><span class="T4"> GeneratorException<\/span><\/p><p class="P6">{<\/p><p class="P20">\xA0 return<\/p><p class="P4"><span class="T3">\xA0 \xA0 \xA0 new<\/span><span class="T4"> StringBuffer<\/span><\/p><p class="P6">\xA0 \xA0 \xA0 (<\/p><p class="P4"><span class="T11">\xA0 \xA0 \xA0 \xA0 "{\\n"<\/span><span class="T4"> +<\/span><\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 \xA0 \xA0generateFieldDeclarations() +<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 \xA0 \xA0generateFieldAccessors() +<\/p><p class="P10">\xA0 \xA0 \xA0 \xA0 "\\n}"<\/p><p class="P6">\xA0 \xA0 \xA0 );<\/p><p class="P6">}<\/p><\/td><\/tr><\/table><p class="Text_20_body">Finally the two methods that are called in generateTypeBody() have to be implemented:<\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle8"><colgroup><col width="856"/><\/colgroup><tr><td style="text-align:left;width:19.581cm; " class="Tabelle8_A1"><p class="Table_20_Contents">generateFieldDeclarations() and generateFieldAccessors()<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle8_A2"><p class="P14"><span class="T3">private<\/span><span class="T4"> StringBuffer generateFieldDeclarations()<\/span><\/p><p class="P6">{<\/p><p class="P4"><span class="T4">\xA0 StringBuffer result = <\/span><span class="T3">new<\/span><span class="T4"> StringBuffer();<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T3">\xA0 for<\/span><span class="T4"> (VariableElement fieldElement : ProcessingUtilities.<\/span><span class="T6">getFields<\/span><span class="T4">(<\/span><span class="T8">inputTypeElement<\/span><span class="T4">))<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P6">\xA0 \xA0 result.append<\/p><p class="P6">\xA0 \xA0 (<\/p><p class="P4"><span class="T11">" \xA0 \xA0<\/span><span class="T11">private "<\/span><span class="T4"> + fieldElement.asType() + <\/span><span class="T11">" "<\/span><span class="T4"> + fieldElement.getSimpleName() + <\/span><span class="T11">";\\n"<\/span><\/p><p class="P6">\xA0 \xA0 );<\/p><p class="P6">\xA0 }<\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T3">\xA0 return<\/span><span class="T4"> result;<\/span><\/p><p class="P6">}<\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T3">private<\/span><span class="T4"> StringBuffer generateFieldAccessors()<\/span><\/p><p class="P6">{<\/p><p class="P4"><span class="T4">\xA0 StringBuffer result = <\/span><span class="T3">new<\/span><span class="T4"> StringBuffer();<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T3">\xA0 for<\/span><span class="T4"> (VariableElement fieldElement : ProcessingUtilities.<\/span><span class="T6">getFields<\/span><span class="T4">(<\/span><span class="T8">inputTypeElement<\/span><span class="T4">))<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P6">\xA0 \xA0 String fieldNameSimple \xA0 \xA0 \xA0= fieldElement.getSimpleName().toString();<\/p><p class="P6">\xA0 \xA0 String fieldType \xA0 \xA0 \xA0 \xA0 \xA0 \xA0= fieldElement.asType().toString();<\/p><p class="P6">\xA0 \xA0 String fieldNameCapitalised = <\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 StringUtil.<span class="T13">firstLetterToUpperCase<\/span>(fieldElement.getSimpleName().toString());<\/p><p class="P4">\xA0<\/p><p class="P6">\xA0 \xA0 result.append<\/p><p class="P6">\xA0 \xA0 (<\/p><p class="P4"><span class="T11">" \xA0 \xA0public "<\/span><span class="T4"> + fieldType + <\/span><span class="T11">" get"<\/span><span class="T4"> + fieldNameCapitalised + <\/span><span class="T11">"() \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0\\n"<\/span><span class="T4"> +<\/span><\/p><p class="P4"><span class="T11">" \xA0 \xA0{ \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \\n"<\/span><span class="T4"> +<\/span><\/p><p class="P4"><span class="T11">" \xA0 \xA0 \xA0return "<\/span><span class="T4"> + fieldElement.getSimpleName() + <\/span><span class="T11">"; \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0\\n"<\/span><span class="T4"> +<\/span><\/p><p class="P4"><span class="T11">" \xA0 \xA0} \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \\n"<\/span><span class="T4"> +<\/span><\/p><p class="P4"><span class="T11">" \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0\\n"<\/span><span class="T4"> +<\/span><\/p><p class="P4"><span class="T11">" \xA0 \xA0public void set"<\/span><span class="T4"> + fieldNameCapitalised + <\/span><span class="T11">"("<\/span><span class="T4"> + fieldType + <\/span><span class="T11">" "<\/span><span class="T4"> + fieldNameSimple + <\/span><span class="T11">")\\n"<\/span><span class="T4"> +<\/span><\/p><p class="P4"><span class="T11">" \xA0 \xA0{ \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \\n"<\/span><span class="T4"> +<\/span><\/p><p class="P4"><span class="T11">" \xA0 \xA0 \xA0this."<\/span><span class="T4"> + fieldNameSimple + <\/span><span class="T11">" = "<\/span><span class="T4"> + fieldNameSimple + <\/span><span class="T11">"; \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \\n"<\/span><span class="T4"> +<\/span><\/p><p class="P10">" \xA0 \xA0}\\n\\n"<\/p><p class="P6">\xA0 \xA0 );<\/p><p class="P6">\xA0 }<\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T3">\xA0 return<\/span><span class="T4"> result;<\/span><\/p><p class="P6">}<\/p><\/td><\/tr><\/table><p class="Text_20_body">The above implementation needs some explanation. The first notable thing is that jMDA provides access to an input type element for ClassGenerator instances. This input type element is a representation of a member of the domain model, namely Person or Address in this example. The implementation uses the input type element and jMDA\'s ProcessingUtilities to retrieve information about the fields of the actual domain model member. As the code above and the generator output below show this information perfectly fits to produce the desired field declarations and accessors for the generated Java Bean classes.<\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle9"><colgroup><col width="856"/><\/colgroup><tr><td style="text-align:left;width:19.581cm; " class="Tabelle9_A1"><p class="Table_20_Contents">Generated Java Bean Classes<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle9_A2"><p class="P11">/**<\/p><p class="P11">\xA0* model type: \xA0 de.jmda.sample.Person<\/p><p class="P11">\xA0* generated by: jMDA<\/p><p class="P11">\xA0* generated at: 2010.11.11 19:04:40<\/p><p class="P11">\xA0* contact: \xA0 \xA0 \xA0rowe.jmda<span class="T15">@gmail.com<\/span><\/p><p class="P11">\xA0*/<\/p><p class="P5"><span class="T3">package<\/span><span class="T4"> de.jmda.sample.impl;<\/span><\/p><p class="P5">\xA0<\/p><p class="P5"><span class="T3">class<\/span><span class="T4"> Person<\/span><\/p><p class="P7">{<\/p><p class="P5"><span class="T3">\xA0 private<\/span><span class="T4"> java.lang.String firstName;<\/span><\/p><p class="P5"><span class="T3">\xA0 private<\/span><span class="T4"> java.lang.String lastName;<\/span><\/p><p class="P5"><span class="T3">\xA0 private<\/span><span class="T4"> java.util.List&lt;de.jmda.sample.Address&gt; addresses;<\/span><\/p><p class="P21">\xA0<\/p><p class="P5"><span class="T3">\xA0 public<\/span><span class="T4"> java.lang.String getFirstName()<\/span><\/p><p class="P7">\xA0 {<\/p><p class="P5"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> firstName;<\/span><\/p><p class="P7">\xA0 }<\/p><p class="P7">\xA0<\/p><p class="P5"><span class="T3">\xA0 public<\/span><span class="T4"> <\/span><span class="T3">void<\/span><span class="T4"> setFirstName(java.lang.String firstName)<\/span><\/p><p class="P7">\xA0 {<\/p><p class="P5"><span class="T3">\xA0 \xA0 this<\/span><span class="T4">.firstName = firstName;<\/span><\/p><p class="P7">\xA0 }<\/p><p class="P17">\xA0<\/p><p class="P5"><span class="T3">\xA0 public<\/span><span class="T4"> java.lang.String getLastName()<\/span><\/p><p class="P7">\xA0 {<\/p><p class="P5"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> lastName;<\/span><\/p><p class="P7">\xA0 }<\/p><p class="P17">\xA0<\/p><p class="P5"><span class="T3">\xA0 public<\/span><span class="T4"> <\/span><span class="T3">void<\/span><span class="T4"> setLastName(java.lang.String lastName)<\/span><\/p><p class="P7">\xA0 {<\/p><p class="P5"><span class="T3">\xA0 \xA0 this<\/span><span class="T4">.lastName = lastName;<\/span><\/p><p class="P7">\xA0 }<\/p><p class="P7">\xA0<\/p><p class="P5"><span class="T3">\xA0 public<\/span><span class="T4"> java.util.List&lt;de.jmda.sample.Address&gt; getAddresses()<\/span><\/p><p class="P7">\xA0 {<\/p><p class="P5"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> addresses;<\/span><\/p><p class="P7">\xA0 }<\/p><p class="P7">\xA0<\/p><p class="P5"><span class="T3">\xA0 public<\/span><span class="T4"> <\/span><span class="T3">void<\/span><span class="T4"> setAddresses(java.util.List&lt;de.jmda.sample.Address&gt; addresses)<\/span><\/p><p class="P7">\xA0 {<\/p><p class="P5"><span class="T3">\xA0 \xA0 this<\/span><span class="T4">.addresses = addresses;<\/span><\/p><p class="P7">\xA0 }<\/p><p class="P7">}<\/p><p class="P9">\xA0<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle9_A2"><p class="P11">/** \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 <\/p><p class="P11">\xA0* model type: \xA0 de.jmda.sample.Address \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0<\/p><p class="P11">\xA0* generated by: jMDA \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 <\/p><p class="P11">\xA0* generated at: 2010.11.11 19:04:40<\/p><p class="P11">\xA0* contact: \xA0 \xA0 \xA0rowe.jmda<span class="T15">@gmail.com<\/span> \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0<\/p><p class="P11">\xA0*/<\/p><p class="P4"><span class="T3">package<\/span><span class="T4"> <\/span><span class="T7">de.jmda.sample.impl<\/span><span class="T4">;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T3">class<\/span><span class="T4"> Address<\/span><\/p><p class="P6">{<\/p><p class="P4"><span class="T3">\xA0 private<\/span><span class="T4"> java.lang.String street;<\/span><\/p><p class="P4"><span class="T3">\xA0 private<\/span><span class="T4"> java.lang.String zip;<\/span><\/p><p class="P4"><span class="T3">\xA0 private<\/span><span class="T4"> java.lang.String city;<\/span><\/p><p class="P4"><span class="T3">\xA0 private<\/span><span class="T4"> java.lang.String country;<\/span><\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T3">\xA0 public<\/span><span class="T4"> java.lang.String getStreet()<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> street;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T3">\xA0 public<\/span><span class="T4"> <\/span><span class="T3">void<\/span><span class="T4"> setStreet(java.lang.String street)<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 this<\/span><span class="T4">.street = street;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T3">\xA0 public<\/span><span class="T4"> java.lang.String getZip()<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> zip;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T3">\xA0 public<\/span><span class="T4"> <\/span><span class="T3">void<\/span><span class="T4"> setZip(java.lang.String zip)<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 this<\/span><span class="T4">.zip = zip;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T3">\xA0 public<\/span><span class="T4"> java.lang.String getCity()<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> city;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P20">\xA0<\/p><p class="P4"><span class="T3">\xA0 public<\/span><span class="T4"> <\/span><span class="T3">void<\/span><span class="T4"> setCity(java.lang.String city)<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 this<\/span><span class="T4">.city = city;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T3">\xA0 public<\/span><span class="T4"> java.lang.String getCountry()<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> country;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T3">\xA0 public<\/span><span class="T4"> <\/span><span class="T3">void<\/span><span class="T4"> setCountry(java.lang.String country)<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 this<\/span><span class="T4">.country = country;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P6">}<\/p><\/td><\/tr><\/table><h3 class="Heading_20_3"><a id="a__Conclusion"><span/><\/a><span class="Strong_20_Emphasis">Conclusion<\/span> <\/h3><p class="Text_20_body">This example demonstrates some of the basic concepts for developing jMDA Java code generators. Obviously there is plenty of room for improvements. jMDA offers solutions for several imperfections that can easily be identified in this 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',PA='focus',nC='fontSize',Oz='function',zE='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"/><\/div><\/div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;">\xA0<\/div><\/td><\/tr><\/table><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">Finally we have to select one ore more annotation processor(s) that we want to launch for the domain model. Below the \u201Cjava source file set\u201D area there is the another very important area called annotation processors. If you click the \u201Cadd\u201D button another dialogue will prompt you to select one of the annotation processor classes from the displayed combo box.<\/span><\/span><\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle11"><colgroup><col width="743"/><\/colgroup><tr><td style="text-align:left;width:17cm; " class="Tabelle11_A1"><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:3.519cm;width:9.155cm; float:left; padding:0; position:relative; left:0cm; " class="fr7" id="Grafik12"><img style="height:3.519cm;width:9.155cm;" alt="" src="',AD='generate',tD='generate code',qD='getting 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',LD='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',mC='id',aA='in',JC='inline',SC='input',mD='introduction',DB='jMDA 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"/><\/div><\/div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;">\xA0<\/div><\/td><\/tr><\/table><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">A new configuration is created via the \u201Cnew\u201D button. If clicked the following dialogue appears. Please enter a name for the new launch configuration to be created and confirm the dialogue by clicking the \u201Cok\u201D button:<\/span><\/span><\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle2"><colgroup><col width="743"/><\/colgroup><tr><td style="text-align:left;width:17cm; " class="Tabelle2_A1"><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:3.519cm;width:9.869cm; float:left; padding:0; position:relative; left:0cm; " class="fr1" id="Grafik3"><img style="height:3.519cm;width:9.869cm;" alt="" 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',yA='left',pD='libraries',TA='load',UA='losecapture',iA='ltr',DC='marginLeft',lE='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"/><\/div><\/div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;">\xA0<\/div><\/td><\/tr><\/table><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">\u201Csrc/main/java\u201D is a location that might well be the root directory for further .java files that you might want to add to the domain model later. Therefore it is a good idea to remember it as a \u201Cfavourite\u201D location. The right area of the file chooser dialogue supports the management of favourite locations. If \u201Cinsert\u201D is clicked the current location is added to the list of favourites.<\/span><\/span><\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle7"><colgroup><col width="743"/><\/colgroup><tr><td style="text-align:left;width:17cm; " class="Tabelle7_A1"><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:8.4cm;width:16.69cm; float:left; padding:0; position:relative; left:0cm; " class="fr6" id="Grafik9"><img style="height:8.4cm;width:16.69cm;" alt="" src="',IB='middle',cA='mm',oD='models',nA='moduleStartup',VA='mousedown',WA='mousemove',XA='mouseout',YA='mouseover',ZA='mouseup',aB='mousewheel',Lz='must be positive',FC='none',CC='nowrap',tE='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"/><\/div><\/div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;">\xA0<\/div><\/td><\/tr><\/table><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">You can arrange the dividers of the \u201Cjava source file set\u201D area to get a complete overview of the parts of your domain model:<\/span><\/span><\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle9"><colgroup><col width="743"/><\/colgroup><tr><td style="text-align:left;width:17cm; " class="Tabelle9_A1"><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:13.169cm;width:16.84cm; float:left; padding:0; position:relative; left:0cm; " class="fr4" id="Grafik10"><img style="height:13.169cm;width:16.84cm;" alt="" src="',bC='offsetHeight',aC='offsetWidth',oA='onModuleLoadStart',EE='osWMhAwAACBb+jseJzkIGVc+ZUvmR/L68k8dPPrB8E8yfAYAAIrJT2T5uXzhwoVUV3QmZAkVFxefPXt2+PDhx48fT3VdOJSXl8uDKQ9pJpXIZ10+9+8f/122ogIAAOlJLxsT3uOQxW2yKS0tfeWVV6ZNm1ZVVZXG9mB17tw5eTDlIc2wHvncjxnx6ayEBAAA0iY/2dNb0TUOWaIetMbGxrVr165evfry5cvpbRIRxcXFJSUl8+bNy7yqtF8BAADAbwHjP4uUuyylrCQQAAAAMHkkZFyuDwAA4CdbQpb8vSwBAACQLYmHvWBUBT8l/LksTwcAAL1IkgNhJL6GjFEV/JTwOePpAACgF0lyIAyvhMzVSMaoCr5J5seSPB0AAPQWSQ6DkOyvLBlVIa/wdAAAUEjSGfYCAAAAWRQzIVu3bp2fcSA+ng4AAAqYR0J29kL3zbV/df24+5wLAqIo0C9QZP6vqCgQMP4WiUDAHG229w6Yodn+sU6Fdqz37hoAAPnM9dlr/mNLLHrvp7Bm/l8fw0ILSj09t9x0Y9eFbndJIyGzjz22//Dvb761buKkz1tnBoysq6ioX1EoDQtNGNNF4RKhqgLhdWLFl69HVnNOxt8TJbuRaNzeNMb1Ncc6ieyk/UcdttzUPSqK63GC7Xss1hyPtPD2Au6ZSVSXcEkq4uxO9DQR8HwYnRtwPLKvb0ZqeYll62WV2otWi/xxzdZCxz96MEKFE70Ykt546tJ8R8Z8IZkLI/toOxPEeZEl+SpL+sXofC+ktVpyAuE1A5a3Wvgsbv1rTkTO7iJ/z9+5YT3pRabNCS06pdnfIcL1yEO845idY5zVZ8qfMUrdR8223V762tPC/9OCmp6QnT734X90fGAtYb4J+3/q44Gt//xSVfmnDh8/ay745bsnfnnwRKgWs6hxRGQO1r9/sfyvuH9xv+LifkXyT3/5sF///mZOVmT8DRgia3mKtSCtZ9xjndTqcbzJ9BrDJ2HHmSnZ7ede6omIFvtk4UrIPE5ABsutTsO3PXVVG02nnMc1ECOli1WD5YDHv8WqsdTjabBGm2j1mMtiLbFW6XjBB8IcDwOWryuRpeZLLRA7IfOKPZCogEc9ceeGQrH+G3l6NS307U7TovlZeL7mXjGO9N8rrjU9m60TvvETvZCC1jLy3Om5ijNFsxWIWX/C2wS7a4ubPsYKIEEYEYHQ+zE0bT1vm/0fxkTA+eq1vLCFiHeSz4pkM177StndrjMJM0UmXByF42wlXtdL9g5sWs9ROoFl0pOkH6hAeEJEX5fCfl5NEFu+Cr80gvK/nitXPuq+1N390UcffRgpUH1N2dZXXxpW0q//iBEjVq/67vde2PrUP76TsFJr7cZ9MQOhD+bwjcndH6KerwZb81MO6NFlULv3x3sv57hzvPVh+NSsmQctYMmcAjGyKGF+IBtnZ8+Tjvl5HQh9sQ69SDzLJ3NL+5hhJFormVXiFZPbjbHIfVuLyBzHcXYUiPwV6X+eJfUKjZGlxvk+FG6tc3ym6cm1eXI0UrBIMX0ioM9yrpBZ3LmU6IVk7FLsd0oyW8g0IQiEPpdE+BMu2bQsxTDinK4tp3pbPZYTReGdIG0sT4KwvlujR8mSe4VXCX/FSiuLLACRE37Ot1Mgn8/Rvbjvnj9veuivh/9JSf/Bgwdf+PDKb3710y/eOuZff3ooYR2OtCyUnNlfr6Gtpf6mtaTFmeqzOVmkJ8Jjke1sqzmSjXCuELdyx+dZOMcSMU7ojsrd03FklrJkTyo5mXum+6M94EjdXPvn+LoS400RfYXGedd4f/NJ4sVtNuWZqWPoRGvkBYHQB3SoATSak1k2FP+pzed3ltk3Z7aTGY+Nv5rvOZmzukCCnMyaPqTC+jr0fIeG2549vkH588ZMa8+SeRmmGkbAfX5zfx9zFE4oXgaTxc9CH5GTpUjfi3vvGHX84L7zFz+qGjSo/5AhQ8bXjHz8saWPf3PZ4hm3/utPDr137LRjJU2znIMjLWSuAu63ty9v2pjPTYY5WQrbF76/PDI459vPvM6cLG69tl1NeN4xMrWU26hc39ETv4rCq8culujslmBfvHOy6LFyvPKF/exsicJMcGwfaQHhfYpP4pSTg7OSx/NvyclEKGXXNxzOw0I5WaKcIVOud5kWTgxtpbLzKRZqAYn1qnBmSLFTdkeledh2Yu6mY38dL+NAoMi9ir8n+TRkOy1OurnB2pyW8En3IYNJ6zmKfW7J3cdqwWRZSauuGPKlW6uO/vpnMgH7i9GVMhnrP2jQoLKysltvHvv33/qHjw16ev7Xm5ofmxYu73glmZ+w0QsKIg8ji2NtOF/ftA6aczK8ZwpiUUlz/Ov1KOm6NM3V85Llc2USMVi2HK9cRluJ+xqP+Q6wnY7z/IXmuGQsmpAqiSa2JA9jEq20tgep7WaeHJQkw3AeMvNSA8u0sJ0NAzFXLHAx0ivPForeT+GT69XO0Xtfa5YTZehqsmBQ/v3nl7fM/+qiP1z8SGZjQ4cOHTBggJ6Q9fT0yJxs3Fjt4sWL3/r2U/K/WNXak7FA5CpPf3bKB65MpID2DQCAPGb/CLYn/72ZmYuJUEIWNHMy+eCPp4/KmX9yy18MHDhQJmP/H1cgv0dM922TAAAAAElFTkSuQmCC"/><\/div><\/div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;">\xA0<\/div><\/td><\/tr><\/table><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">Now that the annotation processor configuration is complete it can be saved to disk by clicking the \u201Csave\u201D button on the lower left side of the window. The last step is to launch the configuration using the \u201Claunch\u201D button on the lower right side. This will produce the output of the generator from the \u201Cgetting started generator\u201D section.<\/span><\/span><\/p><\/body><\/html>',DD='other MDA 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',GC='padding',dC='paddingLeft',dB='paste',_z='pc',TD='ple;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> ...;<\/span><\/p><p class="P6">\xA0<\/p><p class="P8">@TargetPackageNamingInfo<\/p><p class="P8">@TypeMarker<\/p><p class="P4"><span class="T3">class<\/span><span class="T4"> Person<\/span><\/p><p class="P6">{<\/p><p class="P13"><span class="T4">\xA0 String <\/span><span class="T8">firstName<\/span><span class="T4">;<\/span><\/p><p class="P13"><span class="T4">\xA0 String <\/span><span class="T8">lastName<\/span><span class="T4">;<\/span><\/p><p class="P13"><span class="T4">\xA0 List&lt;Address&gt; <\/span><span class="T8">addresses<\/span><span class="T4">;<\/span><\/p><p class="P12">}<\/p><\/td><td style="text-align:left;width:9.791cm; " class="Tabelle2_B2"><p class="P4"><span class="T3">package<\/span><span class="T4"> de.jmda.sample;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> ...;<\/span><\/p><p class="P6">\xA0<\/p><p class="P8">@TargetPackageNamingInfo<\/p><p class="P8">@TypeMarker<\/p><p class="P4"><span class="T3">class<\/span><span class="T4"> Address<\/span><\/p><p class="P6">{<\/p><p class="P4"><span class="T4">\xA0 String <\/span><span class="T8">street<\/span><span class="T4">;<\/span><\/p><p class="P4"><span class="T4">\xA0 String <\/span><span class="T8">zip<\/span><span class="T4">;<\/span><\/p><p class="P4"><span class="T4">\xA0 String <\/span><span class="T8">city<\/span><span class="T4">;<\/span><\/p><p class="P4"><span class="T4">\xA0 String <\/span><span class="T8">country<\/span><span class="T4">;<\/span><\/p><p class="P6">}<\/p><\/td><\/tr><\/table><p class="Text_20_body">The only difference is in the annotations. Both classes are annotated with <span class="Teletype">TypeMarker<\/span> and <span class="Teletype">TargetPackageNamingInfo<\/span> now. <span class="Teletype">TypeMarker<\/span> is necessary to identify both classes as part of the domain model. <span class="Teletype">TargetPackageNamingInfo<\/span> is used by jmda.gen to specify the package of the java files to be generated. If used without parameters as in this example a default naming strategy applies. <\/p><h3 class="Heading_20_3"><a id="a__Processor"><span/><\/a><span class="Strong_20_Emphasis">Processor<\/span><\/h3><p class="Text_20_body">The processor of the \u201CHello World\u201D example has to be modified to call a jMDA generator instead of just putting out domain model information:<\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle1"><colgroup><col width="856"/><\/colgroup><tr><td style="text-align:left;width:19.581cm; " class="Tabelle1_A1"><p class="P2">SampleProcessor class<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle1_A2"><p class="P4"><span class="T3">package<\/span><span class="T4"> de.jmda.mproc.sample.getting_started;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> java.io.File;<\/span><\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> java.io.IOException;<\/span><\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> java.util.Arrays;<\/span><\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> java.util.LinkedList;<\/span><\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> java.util.List;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> javax.annotation.processing.SupportedAnnotationTypes;<\/span><\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> javax.annotation.processing.SupportedSourceVersion;<\/span><\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> javax.lang.model.SourceVersion;<\/span><\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> javax.lang.model.element.Element;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> de.jmda.TypeMarker;<\/span><\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> de.jmda.mproc.LaunchConfiguration;<\/span><\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> de.jmda.mproc.Launcher;<\/span><\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> de.jmda.mproc.ProcessingUtilities;<\/span><\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> de.jmda.mproc.Processor;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T10">@SupportedAnnotationTypes<\/span><span class="T4">(value = { <\/span><span class="T11">"de.jmda.TypeMarker"<\/span><span class="T4"> })<\/span><\/p><p class="P4"><span class="T10">@SupportedSourceVersion<\/span><span class="T4">(value = SourceVersion.<\/span><span class="T9">RELEASE_6<\/span><span class="T4">)<\/span><\/p><p class="P4"><span class="T3">public<\/span><span class="T4"> <\/span><span class="T3">class<\/span><span class="T4"> SampleProcessor <\/span><span class="T3">extends<\/span><span class="T4"> Processor<\/span><\/p><p class="P6">{<\/p><p class="P4"><span class="T4">\xA0 <\/span><span class="T10">@Override<\/span><\/p><p class="P4"><span class="T4">\xA0 <\/span><span class="T3">protected<\/span><span class="T4"> <\/span><span class="T3">boolean<\/span><span class="T4"> process()<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T5">\xA0 \xA0 <\/span><span class="T3">if<\/span><span class="T4"> (<\/span><span class="T8">roundEnvironment<\/span><span class="T4">.processingOver() == <\/span><span class="T3">false<\/span><span class="T4">)<\/span><\/p><p class="P6">\xA0 \xA0 {<\/p><p class="P4"><span class="T4">\xA0 \xA0 \xA0 System.<\/span><span class="T9">out<\/span><span class="T4">.println(<\/span><span class="T11">"elements marked with "<\/span><span class="T4"> + <\/span><span class="T10">TypeMarker<\/span><span class="T4">.<\/span><span class="T3">class<\/span><span class="T4">.getName());<\/span><\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T4">\xA0 \xA0 \xA0 String indentation1 = <\/span><span class="T11">"\\t\\t\\t"<\/span><span class="T4">;<\/span><\/p><p class="P4"><span class="T4">\xA0 \xA0 \xA0 String indentation2 = <\/span><span class="T11">"\\t\\t\\t\\t"<\/span><span class="T4">;<\/span><\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 <\/span><span class="T3">for<\/span><span class="T4"> (Element element : <\/span><span class="T8">roundEnvironment<\/span><span class="T4">.getRootElements())<\/span><\/p><p class="P6">\xA0 \xA0 \xA0 {<\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 \xA0 <\/span><span class="T3">try<\/span><\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 {<\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 \xA0 TypeElement typeElement = ProcessingUtilities.<span class="T13">asTypeElement<\/span>(element);<\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T4">\xA0 \xA0 \xA0 \xA0 \xA0 SampleGenerator sampleGenerator = <\/span><span class="T3">new<\/span><span class="T4"> SampleGenerator(typeElement);<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T4">\xA0 \xA0 \xA0 \xA0 \xA0 System.<\/span><span class="T9">out<\/span><span class="T4">.println(sampleGenerator.generate());<\/span><\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 }<\/p><p class="P4"><span class="T4">\xA0 \xA0 \xA0 \xA0 <\/span><span class="T3">catch<\/span><span class="T4"> (GeneratorException e)<\/span><\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 {<\/p><p class="P4"><span class="T4">\xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 System.<\/span><span class="T9">err<\/span><span class="T4">.println(e);<\/span><\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 }<\/p><p class="P6">\xA0 \xA0 \xA0 }<\/p><p class="P6">\xA0 \xA0 }<\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T5">\xA0 \xA0 <\/span><span class="T3">return<\/span><span class="T4"> <\/span><span class="T3">false<\/span><span class="T4">;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P6"><span style="position:absolute;left:NaNcm;"/><\/p><p class="P4"><span class="T5">\xA0 <\/span><span class="T3">public<\/span><span class="T4"> <\/span><span class="T3">static<\/span><span class="T4"> <\/span><span class="T3">void<\/span><span class="T4"> main(String[] args) <\/span><span class="T3">throws<\/span><span class="T4"> IOException<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T4">\xA0 \xA0 List&lt;File&gt; filesToBeProcessed = <\/span><span class="T3">new<\/span><span class="T4"> LinkedList&lt;File&gt;();<\/span><\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T4">\xA0 \xA0 <\/span><span class="T14">// define the domain model, include all .java files that belong to the domain model<\/span><\/p><p class="P4"><span class="T4">\xA0 \xA0 File[] files = <\/span><span class="T3">new<\/span><span class="T4"> File[]<\/span><\/p><p class="P6">\xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0{<\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0<\/span><span class="T3">new<\/span><span class="T4"> File(<\/span><span class="T11">"../jmda.model/src/main/java/de/jmda/sample/Person.java"<\/span><span class="T4">),<\/span><\/p><p class="P4"><span class="T5">\xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0<\/span><span class="T3">new<\/span><span class="T5"> File(<\/span><span class="T12">"../jmda.model/src/main/java/de/jmda/sample/Address.java"<\/span><span class="T5">)<\/span><\/p><p class="P4"><span class="T5">\xA0<\/span><span class="T4">\xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 \xA0 };<\/span><\/p><p class="P6"><span style="position:absolute;left:NaNcm;"/><span style="position:absolute;left:NaNcm;"/><\/p><p class="P6">\xA0 \xA0 filesToBeProcessed.addAll(Arrays.<span class="T13">asList<\/span>(files));<\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T4">\xA0 \xA0 LaunchConfiguration launchConfiguration = <\/span><span class="T3">new<\/span><span class="T4"> LaunchConfiguration();<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T4">\xA0 \xA0 launchConfiguration.<\/span><span class="T8">files<\/span><span class="T4">.addAll(filesToBeProcessed);<\/span><\/p><p class="P4"><span class="T4">\xA0 \xA0 launchConfiguration.<\/span><span class="T8">processors<\/span><span class="T4">.add(<\/span><span class="T3">new<\/span><span class="T4"> SampleProcessor());<\/span><\/p><p class="P6">\xA0<\/p><p class="P4"><span class="T4">\xA0 \xA0 Launcher.<\/span>launch<span class="T4">(launchConfiguration);<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P6">}<\/p><\/td><\/tr><\/table><p class="Text_20_body">Compared with the processor from the \u201CHello World\u201D example the only significant change is the use of <span class="Teletype">SampleGenerator<\/span>. <\/p><h3 class="Heading_20_3"><a id="a__Generator"><span/><\/a><span class="Strong_20_Emphasis">Generator<\/span> <\/h3><p class="Text_20_body">If you create <span class="Teletype">SampleGenerator<\/span> with a modern IDE and use its "create new class" feature you can usually instruct the IDE to create it as a subclass of <span class="Teletype">de.jmda.generator.java.ClassGenerator<\/span> and to create method stubs for all <span class="Teletype">abstract<\/span> methods. As a result you will get something like this:<\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle3"><colgroup><col width="856"/><\/colgroup><tr><td style="text-align:left;width:19.581cm; " class="Tabelle3_A1"><p class="P1">SampleGenerator<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle3_A2"><p class="P6"><span class="T3">package<\/span> de.jmda.gen.sample.getting_started;<\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> javax.lang.model.element.TypeElement;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> de.jmda.generator.GeneratorException;<\/span><\/p><p class="P4"><span class="T3">import<\/span><span class="T4"> de.jmda.generator.java.ClassGenerator;<\/span><\/p><p class="P4">\xA0<\/p><p class="P4"><span class="T3">public<\/span><span class="T4"> <\/span><span class="T3">class<\/span><span class="T4"> SampleGenerator <\/span><span class="T3">extends<\/span><span class="T4"> ClassGenerator<\/span><\/p><p class="P6">{<\/p><p class="P4"><span class="T5">\xA0 <\/span><span class="T3">public<\/span><span class="T4"> SampleGenerator(TypeElement inputTypeElement) <\/span><span class="T3">throws<\/span><span class="T4"> GeneratorException<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T5">\xA0 \xA0 <\/span><span class="T3">super<\/span><span class="T4">(inputTypeElement);<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P4">\xA0<\/p><p class="P8">\xA0 @Override<\/p><p class="P4"><span class="T3">\xA0 protected<\/span><span class="T4"> StringBuffer generateTypeComment() <\/span><span class="T3">throws<\/span><span class="T4"> GeneratorException<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> <\/span><span class="T3">null<\/span><span class="T4">;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P4">\xA0<\/p><p class="P8">\xA0 @Override<\/p><p class="P4"><span class="T3">\xA0 protected<\/span><span class="T4"> StringBuffer generateTypeAnnotations() <\/span><span class="T3">throws<\/span><span class="T4"> GeneratorException<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> <\/span><span class="T3">null<\/span><span class="T4">;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P4">\xA0<\/p><p class="P8">\xA0 @Override<\/p><p class="P4"><span class="T3">\xA0 protected<\/span><span class="T4"> StringBuffer generateTypeModifiers() <\/span><span class="T3">throws<\/span><span class="T4"> GeneratorException<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> <\/span><span class="T3">null<\/span><span class="T4">;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P4">\xA0<\/p><p class="P8">\xA0 @Override<\/p><p class="P4"><span class="T3">\xA0 protected<\/span><span class="T4"> StringBuffer generateTypeNameSimple() <\/span><span class="T3">throws<\/span><span class="T4"> GeneratorException<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> <\/span><span class="T3">null<\/span><span class="T4">;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P4">\xA0<\/p><p class="P8">\xA0 @Override<\/p><p class="P4"><span class="T3">\xA0 protected<\/span><span class="T4"> StringBuffer generateTypeNameQualified() <\/span><span class="T3">throws<\/span><span class="T4"> GeneratorException<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> <\/span><span class="T3">null<\/span><span class="T4">;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P4">\xA0<\/p><p class="P8">\xA0 @Override<\/p><p class="P4"><span class="T3">\xA0 protected<\/span><span class="T4"> StringBuffer generateTypeExtendsClause() <\/span><span class="T3">throws<\/span><span class="T4"> GeneratorException<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> <\/span><span class="T3">null<\/span><span class="T4">;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P4">\xA0<\/p><p class="P8">\xA0 @Override<\/p><p class="P4"><span class="T3">\xA0 protected<\/span><span class="T4"> StringBuffer generateTypeImplementsClause() <\/span><span class="T3">throws<\/span><span class="T4"> GeneratorException<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> <\/span><span class="T3">null<\/span><span class="T4">;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P4">\xA0<\/p><p class="P8">\xA0 @Override<\/p><p class="P4"><span class="T3">\xA0 protected<\/span><span class="T4"> StringBuffer generateTypeBody() <\/span><span class="T3">throws<\/span><span class="T4"> GeneratorException<\/span><\/p><p class="P6">\xA0 {<\/p><p class="P4"><span class="T3">\xA0 \xA0 return<\/span><span class="T4"> <\/span><span class="T3">null<\/span><span class="T4">;<\/span><\/p><p class="P6">\xA0 }<\/p><p class="P6">}<\/p><\/td><\/tr><\/table><p class="Text_20_body">If you run the sample processor with this rudimentary sample generator you get an output like this:<\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle4"><colgroup><col width="856"/><\/colgroup><tr><td style="text-align:left;width:19.581cm; " class="Tabelle4_A1"><p class="Table_20_Contents">Output 1 of Rudimentary Sample Generator<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle4_A2"><p class="Preformatted_20_Text">/**<\/p><p class="Preformatted_20_Text">\xA0* model type: \xA0 de.jmda.sample.Person<\/p><p class="Preformatted_20_Text">\xA0* generated by: jMDA<\/p><p class="Preformatted_20_Text">\xA0* generated at: 2010.10.11 08:24:17<\/p><p class="Preformatted_20_Text">\xA0*/<\/p><p class="Preformatted_20_Text">package de.jmda.sample.impl;<\/p><p class="Preformatted_20_Text">class null<\/p><p class="P15">null<\/p><\/td><\/tr><tr><td style="text-align:left;width:19.581cm; " class="Tabelle4_A2"><p class="Preformatted_20_Text">/**<\/p><p class="Preformatted_20_Text">\xA0* model type: \xA0 de.jmda.sample.Address<\/p><p class="Preformatted_20_Text">\xA0* generated by: jMDA<\/p><p class="Preformatted_20_Text">\xA0* generated at: 2010.10.11 08:24:17<\/p><p class="Preformatted_20_Text">\xA0*/<\/p><p class="Preformatted_20_Text">package de.jmda.sample.impl;<\/p><p class="Preformatt',uA='position',uD='process visually',pB='project hosting',xD='project roadmap',$z='pt',Wz='px',TB='px ',RB='px; background: url(',QB='px; height: 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"/><\/div><\/div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;">\xA0<\/div><\/td><\/tr><\/table><p class="Text_20_body"><span class="Strong_20_Emphasis"><span class="T1">You can add complete directory trees or individual files to a domain model in a similar way. You also can exclude directory trees, directories and files from a model. To get a complete overview of the currently configured domain model elements you can always click \u201Cshow files\u201D. The domain model elements are then calculated based on the \u201Cjava source file set\u201D configuration and a dialogue like this will display the result:<\/span><\/span><\/p><table border="0" cellspacing="0" cellpadding="0" class="Tabelle10"><colgroup><col width="743"/><\/colgroup><tr><td style="text-align:left;width:17cm; " class="Tabelle10_A1"><!--Next \'div\' was a \'text:p\'.--><div class="P1"> <!--Next \'div\' is emulating the top hight of a draw:frame.--><!--Next \'div\' is a draw:frame.--><div style="height:13.22cm;width:16.82cm; float:left; padding:0; position:relative; left:0cm; " class="fr4" id="Grafik11"><img style="height:13.22cm;width:16.82cm;" alt="" src="',JB='tr',tC='tree',uC='treeitem',iC='true',vD='under the hood',QC='url(',dD='user documentation (.pdf)',IC='verticalAlign',cC='visibility',BC='whiteSpace',wD='why not ...',FA='width',PB='width: 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',IA='zIndex',vE='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